<?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>S1405-55462024000402369</article-id>
<article-id pub-id-type="doi">10.13053/cys-28-4-5282</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Prescriptive Analytics-based Methodologies for Healthcare Data: A Systematic Literature Review]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Mendoza-Olguín]]></surname>
<given-names><![CDATA[Gustavo Emilio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Somodevilla-García]]></surname>
<given-names><![CDATA[María Josefa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-de-Celis]]></surname>
<given-names><![CDATA[Concepción]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Chavarri-Guerra]]></surname>
<given-names><![CDATA[Yanin]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Benemérita Universidad Autónoma de Puebla  ]]></institution>
<addr-line><![CDATA[Puebla ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Nacional de Ciencias Médicas y Nutrición &#8220;Salvador Zubirán&#8221;  ]]></institution>
<addr-line><![CDATA[CDMX ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2024</year>
</pub-date>
<volume>28</volume>
<numero>4</numero>
<fpage>2369</fpage>
<lpage>2383</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462024000402369&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462024000402369&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462024000402369&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: This paper reviews the use of prescriptive approaches to develop personalized treatment plans in healthcare. A systematic literature review was conducted to identify existing methodologies developed for suggesting treatments in medicine using Systematic Mapping Process, PRISMA methodology, and recommended Critical Appraisal Tools. A final set of 30 documents was analyzed. The findings indicate that despite efforts to establish prescriptive methodologies, there remains a significant gap in formalizing the recommendations within frameworks and by healthcare professionals. Moreover, limited evidence exists on the effective implementation of these proposals in real-world scenarios.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Prescriptive analytics]]></kwd>
<kwd lng="en"><![CDATA[personalized medicine]]></kwd>
<kwd lng="en"><![CDATA[prescriptive methodology]]></kwd>
<kwd lng="en"><![CDATA[data science]]></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[Aceto]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Persico]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Pescapé]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Industry 4.0 and health: Internet of things, big data, and cloud computing for healthcare 4.0]]></article-title>
<source><![CDATA[Journal of Industrial Information Integration]]></source>
<year>2020</year>
<volume>18</volume>
</nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ahmed]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahmad]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Jeon]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Piccialli]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A framework for pandemic prediction using big data analytics]]></article-title>
<source><![CDATA[Big Data Research]]></source>
<year>2021</year>
<volume>25</volume>
</nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Alfano]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mayer]]></surname>
<given-names><![CDATA[D. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Beckjord]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Ahern]]></surname>
<given-names><![CDATA[D. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Galioto]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Sheldon]]></surname>
<given-names><![CDATA[L. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Hesse]]></surname>
<given-names><![CDATA[B. W.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Mending disconnects in cancer care: setting an agenda for research, practice, and policy]]></article-title>
<source><![CDATA[JCO Clinical Cancer Informatics]]></source>
<year>2020</year>
<volume>4</volume>
<page-range>539-46</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Baron]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Business analytics in service operations&#8212;Lessons from healthcare operations]]></article-title>
<source><![CDATA[Naval Research Logistics (NRL)]]></source>
<year>2021</year>
<volume>68</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>517-33</page-range></nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Behera]]></surname>
<given-names><![CDATA[R. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Bala]]></surname>
<given-names><![CDATA[P. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Dhir]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The emerging role of cognitive computing in healthcare: a systematic literature review]]></article-title>
<source><![CDATA[International journal of medical informatics]]></source>
<year>2019</year>
<volume>129</volume>
<page-range>154-66</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bertsimas]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Borenstein]]></surname>
<given-names><![CDATA[A. R. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Dauvin]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Orfanoudaki]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ensemble machine learning for personalized antihypertensive treatment]]></article-title>
<source><![CDATA[Naval Research Logistics (NRL)]]></source>
<year>2022</year>
<volume>69</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>669-88</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bertsimas]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Boussioux]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Cory-Wright]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Delarue]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Digalakis]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Jacquillat]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zeng]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[From predictions to prescriptions: A data-driven response to COVID-19]]></article-title>
<source><![CDATA[Health care management science]]></source>
<year>2021</year>
<volume>24</volume>
<page-range>253-72</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bertsimas]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Orfanoudaki]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Weiner]]></surname>
<given-names><![CDATA[R. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Personalized treatment for coronary artery disease patients: a machine learning approach]]></article-title>
<source><![CDATA[Health care management science]]></source>
<year>2020</year>
<volume>23</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>482-506</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Butryn]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Chomiak-Orsa]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Hauke]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Pondel]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Siennicka]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Application of machine learning in medical data analysis illustrated with an example of association rules]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2021</year>
<volume>192</volume>
<page-range>3134-43</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dalli]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Gomez]]></surname>
<given-names><![CDATA[E. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jouvene]]></surname>
<given-names><![CDATA[C. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Utility of the specialized pro-resolving mediators as diagnostic and prognostic biomarkers in disease]]></article-title>
<source><![CDATA[Biomolecules]]></source>
<year>2022</year>
<volume>12</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dasari]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Perkins]]></surname>
<given-names><![CDATA[J. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hendele]]></surname>
<given-names><![CDATA[J. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Leca]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Biggins]]></surname>
<given-names><![CDATA[S. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Sibulesky]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prescriptive analytics determining which patients undergoing simultaneous liver-kidney transplant may benefit from high-risk organs]]></article-title>
<source><![CDATA[Experimental and Clinical Transplantation: Official Journal of the Middle East Society for Organ Transplantation]]></source>
<year>2021</year>
<volume>19</volume>
<numero>12</numero>
<issue>12</issue>
<page-range>1303-12</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Denton]]></surname>
<given-names><![CDATA[B. T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Frontiers of medical decision-making in the modern age of data analytics]]></article-title>
<source><![CDATA[IISE Transactions]]></source>
<year>2023</year>
<volume>55</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>94-105</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[El-Morr]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali-Hassan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[El-Morr]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Ali-Hassan]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Descriptive, predictive, and prescriptive analytics]]></article-title>
<source><![CDATA[Analytics in healthcare: a practical introduction]]></source>
<year>2019</year>
<page-range>31-55</page-range></nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goetz]]></surname>
<given-names><![CDATA[L. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Schork]]></surname>
<given-names><![CDATA[N. J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Personalized medicine: motivation, challenges, and progress]]></article-title>
<source><![CDATA[Fertility and sterility]]></source>
<year>2018</year>
<volume>109</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>952-63</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hassan]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Dhali]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zaman]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Tanveer]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data and predictive analytics in healthcare in Bangladesh: regulatory challenges]]></article-title>
<source><![CDATA[Heliyon]]></source>
<year>2021</year>
<volume>7</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[El-Hechi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ward]]></surname>
<given-names><![CDATA[T. M.]]></given-names>
</name>
<name>
<surname><![CDATA[An]]></surname>
<given-names><![CDATA[G. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Maurer]]></surname>
<given-names><![CDATA[L. R.]]></given-names>
</name>
<name>
<surname><![CDATA[El-Moheb]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Tsoulfas]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaafarani]]></surname>
<given-names><![CDATA[H. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence, machine learning, and surgical science: reality versus hype]]></article-title>
<source><![CDATA[Journal of surgical research]]></source>
<year>2021</year>
<volume>264</volume>
<page-range>A1-9</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Hoyos]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Aguilar]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Toro]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Dengue models based on machine learning techniques: A systematic literature review]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2021</year>
<volume>119</volume>
</nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="">
<collab>A National Center for Biomedical Computing</collab>
<source><![CDATA[i2b2: Informatics for integrating biology and the bedside]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Imai]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[M. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Experimental evaluation of individualized treatment rules]]></article-title>
<source><![CDATA[Journal of the American Statistical Association]]></source>
<year>2023</year>
<volume>118</volume>
<numero>541</numero>
<issue>541</issue>
<page-range>242-56</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Islam]]></surname>
<given-names><![CDATA[M. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Hasan]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[X.]]></given-names>
</name>
<name>
<surname><![CDATA[Germack]]></surname>
<given-names><![CDATA[H. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Md-Alam]]></surname>
<given-names><![CDATA[N. E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A systematic review on healthcare analytics: application and theoretical perspective of data mining]]></article-title>
<source><![CDATA[Healthcare. Multidisciplinary Digital Publishing Institute]]></source>
<year>2018</year>
<volume>6</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>54</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Javed]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Shahzad]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[ur-Rehman]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Zikria]]></surname>
<given-names><![CDATA[Y. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Razzak]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Jalil]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Xu]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Future smart cities: Requirements, emerging technologies, applications, challenges, and future aspects]]></article-title>
<source><![CDATA[Cities]]></source>
<year>2022</year>
<volume>129</volume>
</nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kaur]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Sharma]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Mittal]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data and machine learning based secure healthcare framework]]></article-title>
<source><![CDATA[Procedia computer science]]></source>
<year>2018</year>
<volume>132</volume>
<page-range>1049-59</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kessler]]></surname>
<given-names><![CDATA[R. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Bossarte]]></surname>
<given-names><![CDATA[R. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Luedtke]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Zaslavsky]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Zubizarreta]]></surname>
<given-names><![CDATA[J. R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning methods for developing precisión treatment rules with observational data]]></article-title>
<source><![CDATA[Behaviour Research and Therapy]]></source>
<year>2019</year>
<volume>120</volume>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Khalifa]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Health analytics types, functions and levels: a review of literature]]></article-title>
<source><![CDATA[Data, Informatics and Technology: An Inspiration for Improved Healthcare]]></source>
<year>2018</year>
<page-range>137-40</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Laber]]></surname>
<given-names><![CDATA[E. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Staicu]]></surname>
<given-names><![CDATA[A. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Functional feature construction for individualized treatment regimes]]></article-title>
<source><![CDATA[Journal of the American Statistical Association]]></source>
<year>2018</year>
<volume>113</volume>
<numero>523</numero>
<issue>523</issue>
<page-range>1219-27</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lepenioti]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Bousdekis]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Apostolou]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Mentzas]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prescriptive analytics: Literature review and research challenges]]></article-title>
<source><![CDATA[International Journal of Information Management]]></source>
<year>2020</year>
<volume>50</volume>
<page-range>57-70</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Laber]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Baumgartner]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Optimal treatment regimes: A review and empirical comparison]]></article-title>
<source><![CDATA[International Statistical Review]]></source>
<year>2023</year>
<volume>91</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>427-63</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Martinovich]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<source><![CDATA[Búsqueda bibliográfica: Cómo repensar las formas de buscar, recopilar y analizar la producción científica escrita]]></source>
<year>2022</year>
<publisher-name><![CDATA[Universidad Nacional de Lanús, Secretaría de Investigación y Posgrado]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B29">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mehta]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Pandit]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Shukla]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study]]></article-title>
<source><![CDATA[Journal of biomedical informatics]]></source>
<year>2019</year>
<volume>100</volume>
</nlm-citation>
</ref>
<ref id="B30">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Meng]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Heng]]></surname>
<given-names><![CDATA[B. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Leow]]></surname>
<given-names><![CDATA[M. K. S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analysis via Markov decision process to evaluate glycemic control strategies of a large retrospective cohort with type 2 diabetes: the ameliorate study]]></article-title>
<source><![CDATA[Acta Diabetologica]]></source>
<year>2020</year>
<volume>57</volume>
<page-range>827-34</page-range></nlm-citation>
</ref>
<ref id="B31">
<nlm-citation citation-type="">
<collab>METRIC Lab</collab>
<source><![CDATA[Mayo Clinic]]></source>
<year>2022</year>
</nlm-citation>
</ref>
<ref id="B32">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moher]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Liberati]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Tetzlaff]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Altman]]></surname>
<given-names><![CDATA[D. G.]]></given-names>
</name>
</person-group>
<collab>Prisma Group</collab>
<article-title xml:lang=""><![CDATA[Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement]]></article-title>
<source><![CDATA[International journal of surgery]]></source>
<year>2010</year>
<volume>8</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>336-41</page-range></nlm-citation>
</ref>
<ref id="B33">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Moreno-Fergusson]]></surname>
<given-names><![CDATA[M. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Guerrero-Rueda]]></surname>
<given-names><![CDATA[W. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Ortiz-Basto]]></surname>
<given-names><![CDATA[G. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Arevalo-Sandoval]]></surname>
<given-names><![CDATA[I. A. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Sánchez&#8211;Herrera]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Analytics and lean health care to address nurse care management challenges for inpatients in emerging economies]]></article-title>
<source><![CDATA[Journal of Nursing Scholarship]]></source>
<year>2021</year>
<volume>53</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>803-14</page-range></nlm-citation>
</ref>
<ref id="B34">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mosavi]]></surname>
<given-names><![CDATA[N. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[To what extent healthcare analytics influences decision making in precisión medicine]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2022</year>
<volume>198</volume>
<page-range>353-9</page-range></nlm-citation>
</ref>
<ref id="B35">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mosavi]]></surname>
<given-names><![CDATA[N. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How prescriptive analytics influences decision making in precisión medicine]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2020</year>
<volume>177</volume>
<page-range>528-33</page-range></nlm-citation>
</ref>
<ref id="B36">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mosavi]]></surname>
<given-names><![CDATA[N. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Santos]]></surname>
<given-names><![CDATA[M. F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Internet of things for precisión intensive medicine]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2022</year>
<volume>201</volume>
<page-range>732-7</page-range></nlm-citation>
</ref>
<ref id="B37">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Munn]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Moola]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Riitano]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lisy]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence]]></article-title>
<source><![CDATA[International journal of health policy and management]]></source>
<year>2014</year>
<volume>3</volume>
<numero>3</numero>
<issue>3</issue>
</nlm-citation>
</ref>
<ref id="B38">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Musacchio]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Giancaterini]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Guaita]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Ozzello]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pellegrini]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ponzani]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[de-Micheli]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial intelligence and big data in diabetes care: a position statement of the Italian Association of Medical Diabetologists]]></article-title>
<source><![CDATA[Journal of Medical Internet Research]]></source>
<year>2020</year>
<volume>22</volume>
<numero>6</numero>
<issue>6</issue>
</nlm-citation>
</ref>
<ref id="B39">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Petersen]]></surname>
<given-names><![CDATA[B. T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Other considerations: Perspective and obligations of our societies and governmental organizations]]></article-title>
<source><![CDATA[Techniques in Gastrointestinal Endoscopy]]></source>
<year>2019</year>
<volume>21</volume>
<numero>4</numero>
<issue>4</issue>
</nlm-citation>
</ref>
<ref id="B40">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Petkova]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Ogden]]></surname>
<given-names><![CDATA[R. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Tarpey]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Ciarleglio]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Su]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Trivedi]]></surname>
<given-names><![CDATA[M. H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Statistical analysis plan for stage 1 EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response for Clinical Care) study]]></article-title>
<source><![CDATA[Contemporary clinical trials communications]]></source>
<year>2017</year>
<volume>6</volume>
<page-range>22-30</page-range></nlm-citation>
</ref>
<ref id="B41">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pirracchio]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Cohen]]></surname>
<given-names><![CDATA[M. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Malenica]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Cohen]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Chambaz]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cannesson]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Resche-Rigon]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Hubbar]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data and targeted machine learning in action to assist medical decision in the ICU]]></article-title>
<source><![CDATA[Anaesthesia Critical Care and Pain Medicine]]></source>
<year>2019</year>
<volume>38</volume>
<numero>4</numero>
<issue>4</issue>
<page-range>377-84</page-range></nlm-citation>
</ref>
<ref id="B42">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Poornima]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Pushpalatha]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A survey on various applications of prescriptive analytics]]></article-title>
<source><![CDATA[International Journal of Intelligent Networks]]></source>
<year>2020</year>
<volume>1</volume>
<page-range>76-84</page-range></nlm-citation>
</ref>
<ref id="B43">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Raychaudhuri]]></surname>
<given-names><![CDATA[S. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Manjunath]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Srinivasan]]></surname>
<given-names><![CDATA[C. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Swathi]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Sushma]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Nitin-Bhushan]]></surname>
<given-names><![CDATA[K. N.]]></given-names>
</name>
<name>
<surname><![CDATA[Narendra-Babu]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prescriptive analytics for impulsive behaviour prevention using real-time biometrics]]></article-title>
<source><![CDATA[Progress in Artificial Intelligence]]></source>
<year>2021</year>
<volume>10</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>99-112</page-range><publisher-name><![CDATA[Springer Nature]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B44">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rodriguez-Duque]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Stephens]]></surname>
<given-names><![CDATA[D. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Moodie]]></surname>
<given-names><![CDATA[E. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Klein]]></surname>
<given-names><![CDATA[M. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Semiparametric Bayesian inference for optimal dynamic treatment regimes via dynamic marginal structural models]]></article-title>
<source><![CDATA[Biostatistics]]></source>
<year>2023</year>
<volume>24</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>708-27</page-range></nlm-citation>
</ref>
<ref id="B45">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rose]]></surname>
<given-names><![CDATA[E. J.]]></given-names>
</name>
<name>
<surname><![CDATA[Moodie]]></surname>
<given-names><![CDATA[E. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Shortreed]]></surname>
<given-names><![CDATA[S. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Monte Carlo sensitivity analysis for unmeasured confounding in dynamic treatment regimes]]></article-title>
<source><![CDATA[Biometrical Journal]]></source>
<year>2023</year>
<volume>65</volume>
<numero>5</numero>
<issue>5</issue>
</nlm-citation>
</ref>
<ref id="B46">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Saghafian]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Ambiguous dynamic treatment regimes: A reinforcement learning approach]]></article-title>
<source><![CDATA[Management Science]]></source>
<year>2024</year>
<volume>70</volume>
<numero>9</numero>
<issue>9</issue>
<page-range>5667-90</page-range></nlm-citation>
</ref>
<ref id="B47">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sivarajah]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
<name>
<surname><![CDATA[Kamal]]></surname>
<given-names><![CDATA[M. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Irani]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Weerakkody]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Critical analysis of big data challenges and analytical methods]]></article-title>
<source><![CDATA[Journal of business research]]></source>
<year>2017</year>
<volume>70</volume>
<page-range>263-86</page-range></nlm-citation>
</ref>
<ref id="B48">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Speth]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Restricted sub- tree learning to estimate an optimal dynamic treatment regime using observational data]]></article-title>
<source><![CDATA[Statistics in Medicine]]></source>
<year>2021</year>
<volume>40</volume>
<numero>26</numero>
<issue>26</issue>
<page-range>5796-812</page-range></nlm-citation>
</ref>
<ref id="B49">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Srivani]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Murugappan]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Mala]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Cognitive computing technological trends and future research directions in healthcare &#8212; A systematic literature review]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2023</year>
<volume>138</volume>
</nlm-citation>
</ref>
<ref id="B50">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sun]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Huang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Adversarial reinforcement learning for dynamic treatment regimes]]></article-title>
<source><![CDATA[Journal of biomedical informatics]]></source>
<year>2023</year>
<volume>137</volume>
</nlm-citation>
</ref>
<ref id="B51">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Thapa]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Camtepe]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Precision health data: Requirements, challenges and existing techniques for data security and privacy]]></article-title>
<source><![CDATA[Computers in biology and medicine]]></source>
<year>2021</year>
<volume>129</volume>
</nlm-citation>
</ref>
<ref id="B52">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rogers]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Lu]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Medical information mart for intensive care: A foundation for the fusion of artificial intelligence and real-world data]]></article-title>
<source><![CDATA[Frontiers in Artificial Intelligence]]></source>
<year>2021</year>
<publisher-name><![CDATA[National Library of Medicine]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B53">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Li]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Jiang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Yao]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhang]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Xin]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Breast cancer detection using extreme learning machine based on feature fusion with CNN deep features]]></article-title>
<source><![CDATA[IEEE]]></source>
<year>2019</year>
<volume>7</volume>
<page-range>105146-58</page-range></nlm-citation>
</ref>
<ref id="B54">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Zheng]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Ryzhov]]></surname>
<given-names><![CDATA[I. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Xie]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhong]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Personalized multimorbidity management for patients with type 2 diabetes using reinforcement learning of electronic health records]]></article-title>
<source><![CDATA[Drugs]]></source>
<year>2021</year>
<volume>81</volume>
<page-range>471-82</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
