<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1405-5546</journal-id>
<journal-title><![CDATA[Computación y Sistemas]]></journal-title>
<abbrev-journal-title><![CDATA[Comp. y Sist.]]></abbrev-journal-title>
<issn>1405-5546</issn>
<publisher>
<publisher-name><![CDATA[Instituto Politécnico Nacional, Centro de Investigación en Computación]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-55462022000301119</article-id>
<article-id pub-id-type="doi">10.13053/cys-26-3-3782</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Comprehensive Performance Analysis on Classical Machine Learning and Deep Learning Methods for Predicting the COVID-19 Infections]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[Prabhat]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Suresh]]></surname>
<given-names><![CDATA[Selvam]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Banaras Hindu University Institute of Science Department of Computer Science]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>India</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2022</year>
</pub-date>
<volume>26</volume>
<numero>3</numero>
<fpage>1119</fpage>
<lpage>1135</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462022000301119&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462022000301119&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462022000301119&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: The COVID-19 (coronavirus disease) has been declared a pandemic throughout the world by the WHO (World Health Organization). The number of active COVID-19 cases is increasing day by day and clinical laboratory findings consume more time while interpreting the COVID-19 infected result. There are limited treatment facilities and proper guidelines for reducing infection rates. To overcome these limitations, the requirement of clinical decision support systems embedded with prediction algorithms is raised. In our study, we have architected the clinical prediction system using classical machine learning, deep learning algorithms, and experimental laboratory data. Our model estimated which patients were likely infected with COVID-19 disease. The prediction performances of our models are evaluated based on the accuracy score. The experimental dataset has been provided by Hospital Israelita Albert Einstein at Sao Paulo, Brazil, which included the records of 600 patients from 18 laboratory findings with 10% COVID-19 disease infected patients. Our model has been validated with a train-test split approach, 10-fold cross-validation, and AUC-ROC curve score. The experimental results show that the infected patients with COVID-19 disease are identified at an accuracy of 91.88% through the deep learning method (Convolutional Neural Network (CNN)) and 89.79 % through classical machine learning (Logistic Regression) respectively. This high accuracy is evidence that our prediction model could be readily used for predicting the COVID-19 infections and assisting the health experts in better diagnosis and clinical studies.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[coronavirus disease]]></kwd>
<kwd lng="en"><![CDATA[WHO]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
<kwd lng="en"><![CDATA[decision support system]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aylward]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Liang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Report of the WHO-China joint mission on Coronavirus disease 2019 (COVID-19)]]></article-title>
<source><![CDATA[WHO-China Jt. Mission Coronavirus Dis. 2019]]></source>
<year>2020</year>
<page-range>6-24</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="">
<collab>WHO</collab>
<source><![CDATA[WHO Director-General's statement on IHR Emergency Committee on Novel Coronavirus]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiong]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Clinical characteristics of 138 hospitalized patients with 2019 novel Coronavirus-Infected pneumonia in Wuhan, China]]></article-title>
<source><![CDATA[JAMA]]></source>
<year>2020</year>
<volume>323</volume>
<numero>11</numero>
<issue>11</issue>
<page-range>1061-9</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Holshue]]></surname>
<given-names><![CDATA[M. L.]]></given-names>
</name>
<name>
<surname><![CDATA[DeBolt]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Lindquist]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Lofy]]></surname>
<given-names><![CDATA[K. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wiesman]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Bruce]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Spitters]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ericson]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wilkerson]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Tural]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[First case of 2019 novel coronavirus in the United States]]></article-title>
<source><![CDATA[New England Journal of Medicine]]></source>
<year>2020</year>
<volume>382</volume>
<page-range>929-36</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<collab>WHO</collab>
<article-title xml:lang=""><![CDATA[Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations]]></article-title>
<source><![CDATA[Scientific brief]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="">
<collab>WHO</collab>
<source><![CDATA[Coronavirus]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="">
<collab>WHO</collab>
<source><![CDATA[Potent antibodies found in people recovered from COVID-19]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="">
<collab>WHO</collab>
<source><![CDATA[Advice for the public]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="">
<collab>WHO</collab>
<source><![CDATA[Global research on coronavirus disease (COVID-19)]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Ren]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China]]></article-title>
<source><![CDATA[Lancet]]></source>
<year>2020</year>
<volume>395</volume>
<page-range>497-506</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[Y. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ma]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiao]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhong]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[C. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Clinical characteristics of novel coronavirus cases in tertiary hospitals in Hubei Province]]></article-title>
<source><![CDATA[Chinese Medical Journal]]></source>
<year>2020</year>
<volume>133</volume>
<page-range>1025-31</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kam]]></surname>
<given-names><![CDATA[K. Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Yung]]></surname>
<given-names><![CDATA[C. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Cui]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Lin]]></surname>
<given-names><![CDATA[R. T. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mak]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Maiwald]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chong]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Nadua]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[N. W. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A well infant with Coronavirus disease 2019 (COVID-19) with High Viral Load]]></article-title>
<source><![CDATA[Clinical Infectious Disiseases]]></source>
<year>2020</year>
<volume>71</volume>
<numero>15</numero>
<issue>15</issue>
<page-range>847-9</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jiehao]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Jin]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Daojiong]]></surname>
<given-names><![CDATA[L]]></given-names>
</name>
<name>
<surname><![CDATA[Zhi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Lei]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhenghai]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Yuehua]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Hua]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Ran]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Pengcheng]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A case series of children with 2019 novel coronavirus infection: clinical and epidemiological features]]></article-title>
<source><![CDATA[Clinical Infectious Diseases]]></source>
<year>2020</year>
<volume>71</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>1547-51</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kulkarni]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Seneviratne]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Baig]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Khan]]></surname>
<given-names><![CDATA[A. H. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence in medicine: where are we now?]]></article-title>
<source><![CDATA[Academic Radiology]]></source>
<year>2020</year>
<volume>27</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>62-70</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rowe]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Lester]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[artificial intelligence for personalized preventive adolescent healthcare]]></article-title>
<source><![CDATA[Journal of Adolescent Health]]></source>
<year>2020</year>
<volume>67</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>S52-8</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rong]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Méndez]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Assi]]></surname>
<given-names><![CDATA[E. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Sawan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[artificial intelligence in healthcare: review and prediction case studies]]></article-title>
<source><![CDATA[Engineering]]></source>
<year>2020</year>
<volume>6</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>291-301</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Therneau]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Atkinson]]></surname>
<given-names><![CDATA[E. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tafti]]></surname>
<given-names><![CDATA[A. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Amin]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Limper]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Khosla]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Unsupervised machine learning for the discovery of latent disease clusters and patient subgroups using electronic health records]]></article-title>
<source><![CDATA[Journal of Biomedical Informatics]]></source>
<year>2020</year>
<volume>102</volume>
<page-range>1-10</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sheela]]></surname>
<given-names><![CDATA[K. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Varghese]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning based health monitoring system]]></article-title>
<source><![CDATA[Materials Today: Proceedings]]></source>
<year>2019</year>
<volume>24</volume>
<page-range>1788-94</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sirsat]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Fermé]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Câmara]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning for brain stroke: A review]]></article-title>
<source><![CDATA[Journal of Stroke and Cerebrovascular Diseases]]></source>
<year>2020</year>
<volume>29</volume>
<numero>10</numero>
<issue>10</issue>
<page-range>1-17</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hossain]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferdousi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Alhamid]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Knowledge-driven machine learning based framework for early-stage disease risk prediction in edge environment]]></article-title>
<source><![CDATA[Journal of Parallel Distributed Computing]]></source>
<year>2020</year>
<volume>146</volume>
<page-range>25-34</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Shu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xia]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Yu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study]]></article-title>
<source><![CDATA[The Lancet Respiratory Medicine]]></source>
<year>2020</year>
<volume>8</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>475-81</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[An]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ding]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Au]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Ang]]></surname>
<given-names><![CDATA[T. F. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep ensemble learning for Alzheimer&#8217;s disease classification]]></article-title>
<source><![CDATA[Journal of Biomedical Informatics]]></source>
<year>2020</year>
<volume>105</volume>
<page-range>1-11</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fei]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[D. D. U.]]></given-names>
</name>
<name>
<surname><![CDATA[Butler]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ijomah]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep convolution network based emotion analysis towards mental health care]]></article-title>
<source><![CDATA[Neurocomputing]]></source>
<year>2020</year>
<volume>388</volume>
<page-range>212-27</page-range></nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Coccia]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning technology for improving cancer care in society: New directions in cancer imaging driven by artificial intelligence]]></article-title>
<source><![CDATA[Technology in Society]]></source>
<year>2020</year>
<volume>60</volume>
<page-range>1-11</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guan]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Matthew]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Mirzaian]]></surname>
<given-names><![CDATA[A. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Demehri]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Neogi]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Guermazi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kijowski]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Deep learning approach to predict pain progression in knee osteoarthritis]]></article-title>
<source><![CDATA[Osteoarthritis and Cartilage]]></source>
<year>2020</year>
<volume>28</volume>
<page-range>S316</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rahman]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ghasemi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Suley]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Rogers]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning based computer aided diagnosis of breast cancer utilizing anthropometric and clinical features]]></article-title>
<source><![CDATA[IRBM]]></source>
<year>2020</year>
<volume>42</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>215-26</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Horiuchi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Hirasawa]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Ishizuka]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Tokai]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Namikawa]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoshimizu]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Ishiyama]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Yoshio]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsuchida]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Fujisaki]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Performance of a computer-aided diagnosis system in diagnosing early gastric cancer using magnifying endoscopy videos with narrow-band imaging (with videos)]]></article-title>
<source><![CDATA[Gastrointestinal Endoscopy]]></source>
<year>2020</year>
<volume>92</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>856-65</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gudigar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Raghavendra]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
<name>
<surname><![CDATA[Hegde]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Kalyani]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ciaccio]]></surname>
<given-names><![CDATA[E. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Acharya]]></surname>
<given-names><![CDATA[U. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Brain pathology identification using computer aided diagnostic tool: A systematic review]]></article-title>
<source><![CDATA[Computer Methods and Programs in Biomedicine]]></source>
<year>2020</year>
<volume>187</volume>
<page-range>1-18</page-range></nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ebhohimen]]></surname>
<given-names><![CDATA[I. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Edemhanria]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Awojide]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Onyijen]]></surname>
<given-names><![CDATA[O. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Anywar]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Advances in computer-aided drug discovery]]></article-title>
<source><![CDATA[Phytochemicals as Lead Compounds for New Drug Discovery]]></source>
<year>2020</year>
<page-range>25-37</page-range><publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Iadanza]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Luschi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computer-aided facilities management in health care]]></article-title>
<source><![CDATA[Clinical Engineering Handbook]]></source>
<year>2019</year>
<edition>2</edition>
<page-range>42-51</page-range><publisher-name><![CDATA[Academic Press]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Panwar]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[P. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Siddiqui]]></surname>
<given-names><![CDATA[M. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Morales-Menéndez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Application of deep learning for fast detection of COVID-19 in X-Rays using nCOVnet]]></article-title>
<source><![CDATA[Chaos, Solitons and Fractals]]></source>
<year>2020</year>
<volume>138</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Panwar]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Gupta]]></surname>
<given-names><![CDATA[P. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Siddiqui]]></surname>
<given-names><![CDATA[M. K]]></given-names>
</name>
<name>
<surname><![CDATA[Morales-Menéndez]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bhardwaj]]></surname>
<given-names><![CDATA[P]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A deep learning and Grad-CAM based color visualization approach for fast detection of COVID-19 cases using chest X-ray and CT-Scan images]]></article-title>
<source><![CDATA[Chaos, Solitons and Fractals]]></source>
<year>2020</year>
<volume>140</volume>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Das]]></surname>
<given-names><![CDATA[N. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaur]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated deep transfer learning-based approach for detection of COVID-19 infection in chest X-rays]]></article-title>
<source><![CDATA[IRBM]]></source>
<year>2020</year>
<volume>43</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>114-9</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Coffee]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Bari]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Dai]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Cai]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Towards an artificial intelligence framework for data-driven prediction of coronavirus clinical severity]]></article-title>
<source><![CDATA[Computers, Materials &amp; Continua]]></source>
<year>2020</year>
<volume>63</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>537-51</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Batista]]></surname>
<given-names><![CDATA[A. F. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Miraglia]]></surname>
<given-names><![CDATA[J. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Donato]]></surname>
<given-names><![CDATA[T. H. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Chiavegatto Filho]]></surname>
<given-names><![CDATA[A. D. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[COVID-19 diagnosis prediction in emergency care patients: a machine learning approach]]></article-title>
<source><![CDATA[MedRxiv]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schwab]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Schütte]]></surname>
<given-names><![CDATA[A. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Dietz]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Bauer]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[predCOVID-19: A Systematic Study of Clinical Predictive Models for Coronavirus Disease 2019]]></article-title>
<source><![CDATA[ArXiv]]></source>
<year>2020</year>
<volume>76</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alakus]]></surname>
<given-names><![CDATA[T. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Turkoglu]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Comparison of deep learning approaches to predict COVID-19 infection]]></article-title>
<source><![CDATA[Chaos, Solitons and Fractals]]></source>
<year>2020</year>
<volume>140</volume>
<page-range>1-7</page-range></nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kaggle]]></surname>
</name>
</person-group>
<source><![CDATA[Diagnosis of COVID-19 and its clinical spectrum]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nusinovici]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Tham]]></surname>
<given-names><![CDATA[Y. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Yan]]></surname>
<given-names><![CDATA[M. Y. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ting]]></surname>
<given-names><![CDATA[D. S. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Sabanayagam]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wong]]></surname>
<given-names><![CDATA[T. Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Cheng]]></surname>
<given-names><![CDATA[C. Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Logistic regression was as good as machine learning for predicting major chronic diseases]]></article-title>
<source><![CDATA[Journal of Clinical Epidemiology]]></source>
<year>2020</year>
<volume>122</volume>
<page-range>56-69</page-range></nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Schluter]]></surname>
<given-names><![CDATA[P. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The trauma and injury severity score (TRISS) revised]]></article-title>
<source><![CDATA[Injury]]></source>
<year>2011</year>
<volume>42</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>90-6</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aboagye-Mensah]]></surname>
<given-names><![CDATA[E. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Azap]]></surname>
<given-names><![CDATA[R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Odei]]></surname>
<given-names><![CDATA[J. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Gray]]></surname>
<given-names><![CDATA[D. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Nolan]]></surname>
<given-names><![CDATA[T. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Elgazzar]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[White]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Gregory]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Joseph]]></surname>
<given-names><![CDATA[J. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The association of ideal cardiovascular health with self-reported health, diabetes, and adiposity in African American males]]></article-title>
<source><![CDATA[Preventive Medicine Reports]]></source>
<year>2020</year>
<volume>19</volume>
</nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Younis]]></surname>
<given-names><![CDATA[E. M. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Hendawi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali]]></surname>
<given-names><![CDATA[A. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Heart disease identification from patients&#8217; social posts, machine learning solution on spark]]></article-title>
<source><![CDATA[Future Generation Computer Systems]]></source>
<year>2020</year>
<volume>111</volume>
<page-range>714-22</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Morais-Rodrigues]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Silverio-Machado]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Kato]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodrigues]]></surname>
<given-names><![CDATA[D. L. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Valdez-Baez]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Fonseca]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[San]]></surname>
<given-names><![CDATA[E. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gomes]]></surname>
<given-names><![CDATA[L. G. R.]]></given-names>
</name>
<name>
<surname><![CDATA[dos Santos]]></surname>
<given-names><![CDATA[R. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Viana]]></surname>
<given-names><![CDATA[M. V. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis of the microarray gene expression for breast cancer progression after the application modified logistic regression]]></article-title>
<source><![CDATA[Gene]]></source>
<year>2020</year>
<volume>726</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Fukunishi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Nishiyama]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Luo]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Kubo]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Kobayashi]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Alzheimer-type dementia prediction by sparse logistic regression using claim data]]></article-title>
<source><![CDATA[Computer Methods and Programs in Biomedicine]]></source>
<year>2020</year>
<volume>196</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Xiang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[voice disorder identification by using Hilbert-Huang Transform (HHT) and K Nearest Neighbor (KNN)]]></article-title>
<source><![CDATA[Journal of Voice]]></source>
<year>2021</year>
<volume>35</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>932.e1-932.e11</page-range></nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kaplan]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaya]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuncan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ertunç]]></surname>
<given-names><![CDATA[H. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Brain tumor classification using modified local binary patterns (LBP) feature extraction methods]]></article-title>
<source><![CDATA[Medical Hypotheses]]></source>
<year>2020</year>
<volume>139</volume>
</nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Balaji]]></surname>
<given-names><![CDATA[V. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Suganthi]]></surname>
<given-names><![CDATA[S. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Rajadevi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Kumar]]></surname>
<given-names><![CDATA[V. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Balaji]]></surname>
<given-names><![CDATA[B. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pandiyan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Skin disease detection and segmentation using dynamic graph cut algorithm and classification through Naive Bayes classifier]]></article-title>
<source><![CDATA[Measurement]]></source>
<year>2020</year>
<volume>163</volume>
</nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shah]]></surname>
<given-names><![CDATA[S. M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Shah]]></surname>
<given-names><![CDATA[F. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Hussain]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Batool]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Support vector machines-based heart disease diagnosis using feature subset, wrapping selection and extraction methods]]></article-title>
<source><![CDATA[Computers &amp; Electrical Engineering]]></source>
<year>2020</year>
<volume>84</volume>
</nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Panigrahi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Borah]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Classification and analysis of facebook metrics dataset using supervised classifiers]]></article-title>
<source><![CDATA[Social Network Analytics, Computational Research Methods and Techniques]]></source>
<year>2019</year>
<page-range>1-19</page-range><publisher-name><![CDATA[Elsevier]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Radha]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Divya]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An efficient detection of HCC-recurrence in clinical data processing using boosted decision tree classifier]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2020</year>
<volume>167</volume>
<page-range>193-204</page-range></nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wadekar]]></surname>
<given-names><![CDATA[A. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Understanding opioid use disorder (OUD) using tree-based classifiers]]></article-title>
<source><![CDATA[Drug and Alcohol Dependence]]></source>
<year>2020</year>
<volume>208</volume>
</nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Proniewska]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Pregowska]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Malinowski]]></surname>
<given-names><![CDATA[K. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Identification of human vital functions directly relevant to the respiratory system based on the cardiac and acoustic parameters and random forest]]></article-title>
<source><![CDATA[IRBM]]></source>
<year>2020</year>
<volume>42</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>174-9</page-range></nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Tian]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhu]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ding]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A multicenter random forest model for effective prognosis prediction in collaborative clinical research network]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2020</year>
<volume>103</volume>
</nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tan]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xia]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Early prediction of lung cancer based on the combination of trace element analysis in urine and an Adaboost algorithm]]></article-title>
<source><![CDATA[Journal of Pharmaceutical and Biomedical Analysis]]></source>
<year>2009</year>
<volume>49</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>746-52</page-range></nlm-citation>
</ref>
<ref id="B55">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hu]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Yin]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Wan]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Fang]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Recognition of diseased pinus trees in UAV images using deep learning and AdaBoost classifier]]></article-title>
<source><![CDATA[Biosystems Engineering]]></source>
<year>2020</year>
<volume>194</volume>
<page-range>138-51</page-range></nlm-citation>
</ref>
<ref id="B56">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mujumdar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Vaidehi]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Diabetes prediction using machine learning algorithms]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2019</year>
<volume>165</volume>
<page-range>292-9</page-range></nlm-citation>
</ref>
<ref id="B57">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Javan]]></surname>
<given-names><![CDATA[S. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sepehri]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Javan]]></surname>
<given-names><![CDATA[M. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Khatibi]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[An intelligent warning model for early prediction of cardiac arrest in sepsis patients]]></article-title>
<source><![CDATA[Computer Methods and Programs in Biomedicine]]></source>
<year>2019</year>
<volume>178</volume>
<page-range>47-58</page-range></nlm-citation>
</ref>
<ref id="B58">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Worth]]></surname>
<given-names><![CDATA[A. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Cronin]]></surname>
<given-names><![CDATA[M. T. D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The use of discriminant analysis, logistic regression and classification tree analysis in the development of classification models for human health effects]]></article-title>
<source><![CDATA[Journal of Molecular Structure: THEOCHEM]]></source>
<year>2003</year>
<volume>622</volume>
<numero>1&#8211;2</numero>
<issue>1&#8211;2</issue>
<page-range>97-111</page-range></nlm-citation>
</ref>
<ref id="B59">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nkengfack]]></surname>
<given-names><![CDATA[L. C. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Tchiotsop]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Atangana]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Louis-Door]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Wolf]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[EEG signals analysis for epileptic seizures detection using polynomial transforms, linear discriminant analysis and support vector machines]]></article-title>
<source><![CDATA[Biomedical Signal Processing and Control]]></source>
<year>2020</year>
<volume>62</volume>
</nlm-citation>
</ref>
<ref id="B60">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bari]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Fattah]]></surname>
<given-names><![CDATA[S. A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Epileptic seizure detection in EEG signals using normalized IMFs in CEEMDAN domain and quadratic discriminant classifier]]></article-title>
<source><![CDATA[Biomedical Signal Processing and Control]]></source>
<year>2020</year>
<volume>58</volume>
</nlm-citation>
</ref>
<ref id="B61">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Georgiou-Karistianis]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Gray]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Domínguez D]]></surname>
<given-names><![CDATA[J. F.]]></given-names>
</name>
<name>
<surname><![CDATA[Dymowski]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bohanna]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Johnston]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Churchyard]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chua]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Stout]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Egan]]></surname>
<given-names><![CDATA[G. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automated differentiation of pre-diagnosis Huntington&#8217;s disease from healthy control individuals based on quadratic discriminant analysis of the basal ganglia: The IMAGE-HD study]]></article-title>
<source><![CDATA[Neurobiology of Disease]]></source>
<year>2013</year>
<volume>51</volume>
<page-range>82-92</page-range></nlm-citation>
</ref>
<ref id="B62">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shanthi]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Sabeenian]]></surname>
<given-names><![CDATA[R. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Anand]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic diagnosis of skin diseases using convolution neural network]]></article-title>
<source><![CDATA[Microprocessors and Microsystems]]></source>
<year>2020</year>
<volume>76</volume>
</nlm-citation>
</ref>
<ref id="B63">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Jain]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Nagrath]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Kataria]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaushik]]></surname>
<given-names><![CDATA[V. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hemanth]]></surname>
<given-names><![CDATA[D. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Pneumonia detection in chest X-ray images using convolutional neural networks and transfer learning]]></article-title>
<source><![CDATA[Measurement]]></source>
<year>2020</year>
<volume>165</volume>
</nlm-citation>
</ref>
<ref id="B64">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cimr]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Studnicka]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Fujita]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Tomaskova]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Cimler]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Kuhnova]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Slegr]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Computer aided detection of breathing disorder from ballistocardiography signal using convolutional neural network]]></article-title>
<source><![CDATA[Information Sciences]]></source>
<year>2020</year>
<volume>541</volume>
<page-range>207-17</page-range></nlm-citation>
</ref>
<ref id="B65">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Atal]]></surname>
<given-names><![CDATA[D. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Singh]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Arrhythmia classification with ECG signals based on the optimization-enabled deep convolutional neural network]]></article-title>
<source><![CDATA[Computer Methods and Programs in Biomedicine]]></source>
<year>2020</year>
<volume>196</volume>
</nlm-citation>
</ref>
<ref id="B66">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Savelli]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Bria]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Molinara]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Marrocco]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Tortorella]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A multi-context CNN ensemble for small lesion detection]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2020</year>
<volume>103</volume>
</nlm-citation>
</ref>
<ref id="B67">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Gao]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2020</year>
<volume>106</volume>
</nlm-citation>
</ref>
<ref id="B68">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pellicer-Valero]]></surname>
<given-names><![CDATA[O. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Cattinelli]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Neri]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Mari]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Martín-Guerrero]]></surname>
<given-names><![CDATA[J. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Barbieri]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2020</year>
<volume>107</volume>
</nlm-citation>
</ref>
<ref id="B69">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Meng]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Fan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Heart sound classification based on improved MFCC features and convolutional recurrent neural networks]]></article-title>
<source><![CDATA[Neural Networks]]></source>
<year>2020</year>
<volume>130</volume>
<page-range>22-32</page-range></nlm-citation>
</ref>
<ref id="B70">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[X]]></given-names>
</name>
<name>
<surname><![CDATA[Wu]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[EEG-based emotion classification based on bidirectional long short-term memory network]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2020</year>
<volume>174</volume>
<page-range>491-504</page-range></nlm-citation>
</ref>
<ref id="B71">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghosh]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Saha]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Konar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Bi-directional long short-term memory model to analyze psychological effects on gamers]]></article-title>
<source><![CDATA[Applied Soft Computing]]></source>
<year>2020</year>
<volume>95</volume>
</nlm-citation>
</ref>
<ref id="B72">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Han]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Abnormal heart sound detection using temporal quasi-periodic features and long short-term memory without segmentation]]></article-title>
<source><![CDATA[Biomedical Signal Processing and Control]]></source>
<year>2019</year>
<volume>53</volume>
</nlm-citation>
</ref>
<ref id="B73">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Guedes]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Junior]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Fernandes]]></surname>
</name>
<name>
<surname><![CDATA[Teixeira]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Teixeira]]></surname>
<given-names><![CDATA[J. P.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Long short term memory on chronic laryngitis classification]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2018</year>
<volume>138</volume>
<page-range>250-7</page-range></nlm-citation>
</ref>
<ref id="B74">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B75">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B76">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B77">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B78">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B79">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B80">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B81">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B82">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B83">
<nlm-citation citation-type="">
<collab>Scikit Learn</collab>
<source><![CDATA[scikit-learn]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B84">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mandrekar]]></surname>
<given-names><![CDATA[J. N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Receiver operating characteristic curve in diagnostic test assessment]]></article-title>
<source><![CDATA[Journal of Thoracic Oncology]]></source>
<year>2010</year>
<volume>5</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>1315-6</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
