<?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>S1405-55462020000200403</article-id>
<article-id pub-id-type="doi">10.13053/cys-24-2-3367</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Machine Learning Models for Cancer Type Classification with Unstructured Data]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Montelongo González]]></surname>
<given-names><![CDATA[Erick E.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes Ortiz]]></surname>
<given-names><![CDATA[José A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[González Beltrán]]></surname>
<given-names><![CDATA[Beatriz A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma Metropolitana Systems Department ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2020</year>
</pub-date>
<volume>24</volume>
<numero>2</numero>
<fpage>403</fpage>
<lpage>411</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462020000200403&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462020000200403&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462020000200403&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: Machine learning (ML) techniques have been used to classify cancer types to support physicians in the diagnosis of a disease. Usually, these models are based on structured data obtained from clinical databases. However valuable information given as clinical notes included in patient records are not used frequently. In this paper, an approach to obtain information from clinical notes, based on Natural Language Processing techniques and Paragraph Vectors algorithm is presented. Moreover, Machine Learning models for classification of liver, breast and lung cancer patients are used. Also, a comparison and evaluation process of chosen ML models with varying parameters were conducted to obtain the best one. The ML algorithms chosen are Support Vector Machines (SVM) and Multi-Layer Perceptron (MLP). Results obtained are promising and they show the best model for classification is the MLP model with a precision 0.89 and f1-score 0.87, although the difference in precision between models is minimal (0.02).]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Machine learning]]></kwd>
<kwd lng="en"><![CDATA[natural language processing]]></kwd>
<kwd lng="en"><![CDATA[cancer classification]]></kwd>
<kwd lng="en"><![CDATA[support vector machines]]></kwd>
<kwd lng="en"><![CDATA[neural networks]]></kwd>
<kwd lng="en"><![CDATA[unstructured data]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<label>1</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bozkurt]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Gimenez]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Burnside]]></surname>
<given-names><![CDATA[E. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Gulkesen]]></surname>
<given-names><![CDATA[K. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Rubin]]></surname>
<given-names><![CDATA[D. L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Using automatically extracted information from mammography reports for decision-support]]></article-title>
<source><![CDATA[Journal of Biomedical Informatics]]></source>
<year>2016</year>
<volume>62</volume>
<page-range>224-31</page-range></nlm-citation>
</ref>
<ref id="B2">
<label>2</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bray]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Ferlay]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Soerjomataram]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Siegel]]></surname>
<given-names><![CDATA[R. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Torre]]></surname>
<given-names><![CDATA[L. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Jemal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries]]></article-title>
<source><![CDATA[CA: a cancer journal for clinicians]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B3">
<label>3</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cortes]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Vapnik]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Support-vector networks]]></article-title>
<source><![CDATA[Machine learning]]></source>
<year>1995</year>
<volume>20</volume>
<numero>3</numero>
<issue>3</issue>
<page-range>273-97</page-range></nlm-citation>
</ref>
<ref id="B4">
<label>4</label><nlm-citation citation-type="">
<collab>Eclipse Deeplearning4j Development Team</collab>
<source><![CDATA[Deeplearning4j]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B5">
<label>5</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Farooqui]]></surname>
<given-names><![CDATA[N. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ritika]]></surname>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A study on early prevention and detection of breast cancer using three-machine learning techniques]]></article-title>
<source><![CDATA[International Journal of Advanced Research in Computer Science U6]]></source>
<year>2018</year>
<volume>9</volume>
<numero>2</numero>
<issue>2</issue>
<page-range>37</page-range></nlm-citation>
</ref>
<ref id="B6">
<label>6</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gardner]]></surname>
<given-names><![CDATA[M. W.]]></given-names>
</name>
<name>
<surname><![CDATA[Dorling]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Artificial neural networks (the multilayer perceptron)&#8211;a review of applications in the atmospheric sciences]]></article-title>
<source><![CDATA[Atmospheric environment]]></source>
<year>1998</year>
<volume>32</volume>
<numero>14-15</numero>
<issue>14-15</issue>
<page-range>2627-36</page-range></nlm-citation>
</ref>
<ref id="B7">
<label>7</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gerevini]]></surname>
<given-names><![CDATA[A. E.]]></given-names>
</name>
<name>
<surname><![CDATA[Lavelli]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Maffi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Maroldi]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Minard]]></surname>
<given-names><![CDATA[A.-L.]]></given-names>
</name>
<name>
<surname><![CDATA[Serina]]></surname>
<given-names><![CDATA[I.]]></given-names>
</name>
<name>
<surname><![CDATA[Squassina]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Automatic classification of radiological reports for clinical care]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2018</year>
<volume>91</volume>
<page-range>72-81</page-range></nlm-citation>
</ref>
<ref id="B8">
<label>8</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Goulart]]></surname>
<given-names><![CDATA[B. H. L.]]></given-names>
</name>
<name>
<surname><![CDATA[Silgard]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Baik]]></surname>
<given-names><![CDATA[C. S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bansal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Greenwood-Hickman]]></surname>
<given-names><![CDATA[M. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Hanson]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Ramsey]]></surname>
<given-names><![CDATA[S. D.]]></given-names>
</name>
<name>
<surname><![CDATA[Schwartz]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Validation of natural language processing (NLP) for automated ascertainment of EGFR and ALK tests in SEER cases of non-small cell lung cancer (NSCLC)]]></article-title>
<source><![CDATA[Journal of Clinical Oncology]]></source>
<year>2017</year>
<volume>35</volume>
<page-range>6528</page-range></nlm-citation>
</ref>
<ref id="B9">
<label>9</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Koopman]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Zuccon]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Bergheim]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Grayson]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Extracting cancer mortality statistics from death certificates: A hybrid machine learning and rule-based approach for common and rare cancers]]></article-title>
<source><![CDATA[Artificial Intelligence in Medicine]]></source>
<year>2018</year>
<volume>89</volume>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B10">
<label>10</label><nlm-citation citation-type="confpro">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Le]]></surname>
<given-names><![CDATA[Q.]]></given-names>
</name>
<name>
<surname><![CDATA[Mikolov]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<source><![CDATA[Distributed representations of sentences and documents]]></source>
<year>2013</year>
<conf-name><![CDATA[ International conference on machine learning]]></conf-name>
<conf-loc> </conf-loc>
<page-range>1188-96</page-range></nlm-citation>
</ref>
<ref id="B11">
<label>11</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Lynch]]></surname>
<given-names><![CDATA[C. M.]]></given-names>
</name>
<name>
<surname><![CDATA[Abdollahi]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Fuqua]]></surname>
<given-names><![CDATA[J. D.]]></given-names>
</name>
<name>
<surname><![CDATA[de Carlo]]></surname>
<given-names><![CDATA[A. R.]]></given-names>
</name>
<name>
<surname><![CDATA[Bartholomai]]></surname>
<given-names><![CDATA[J. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Balgemann]]></surname>
<given-names><![CDATA[R. N.]]></given-names>
</name>
<name>
<surname><![CDATA[van Berkel]]></surname>
<given-names><![CDATA[V. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Frieboes]]></surname>
<given-names><![CDATA[H. B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of lung cancer patient survival via supervised machine learning classification techniques]]></article-title>
<source><![CDATA[International Journal of Medical Informatics]]></source>
<year>2017</year>
<volume>108</volume>
<page-range>1-8</page-range></nlm-citation>
</ref>
<ref id="B12">
<label>12</label><nlm-citation citation-type="">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mikolov]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Chen]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Corrado]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Dean]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<source><![CDATA[Efficient estimation of word representations in vector space]]></source>
<year>2013</year>
</nlm-citation>
</ref>
<ref id="B13">
<label>13</label><nlm-citation citation-type="book">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Minsky]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Papert]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
</person-group>
<source><![CDATA[An introduction to computational geometry]]></source>
<year>1969</year>
<publisher-name><![CDATA[Cambridge tiass., HIT]]></publisher-name>
</nlm-citation>
</ref>
<ref id="B14">
<label>14</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Montazeri]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Montazeri]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Montazeri]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Beigzadeh]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Machine learning models in breast cancer survival prediction]]></article-title>
<source><![CDATA[Technology and health care: official journal of the European Society for Engineering and Medicine]]></source>
<year>2016</year>
<volume>24</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>31-42</page-range></nlm-citation>
</ref>
<ref id="B15">
<label>15</label><nlm-citation citation-type="">
<collab>National Cancer Institute</collab>
<source><![CDATA[National Cancer Institute NCI dictionary of cancer terms]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B16">
<label>16</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Patel]]></surname>
<given-names><![CDATA[T. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Puppala]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Ogunti]]></surname>
<given-names><![CDATA[R. O.]]></given-names>
</name>
<name>
<surname><![CDATA[Ensor]]></surname>
<given-names><![CDATA[J. E.]]></given-names>
</name>
<name>
<surname><![CDATA[He]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Shewale]]></surname>
<given-names><![CDATA[J. B.]]></given-names>
</name>
<name>
<surname><![CDATA[Ankerst]]></surname>
<given-names><![CDATA[D. P.]]></given-names>
</name>
<name>
<surname><![CDATA[Kaklamani]]></surname>
<given-names><![CDATA[V. G.]]></given-names>
</name>
<name>
<surname><![CDATA[Rodriguez]]></surname>
<given-names><![CDATA[A. A.]]></given-names>
</name>
<name>
<surname><![CDATA[Wong]]></surname>
<given-names><![CDATA[S. T. C.]]></given-names>
</name>
<name>
<surname><![CDATA[Chang]]></surname>
<given-names><![CDATA[J. C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Correlating mammographic and pathologic findings in clinical decision support using natural language processing and data mining methods: Natural language processing]]></article-title>
<source><![CDATA[Cancer]]></source>
<year>2017</year>
<volume>123</volume>
<numero>1</numero>
<issue>1</issue>
<page-range>114-21</page-range></nlm-citation>
</ref>
<ref id="B17">
<label>17</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Pedregosa]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Varoquaux]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Gramfort]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Michel]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Thirion]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Grisel]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Blondel]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Prettenhofer]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Weiss]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Dubourg]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Vanderplas]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Passos]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Cournapeau]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Brucher]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Perrot]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Duchesnay]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Scikit-learn: Machine learning in Python]]></article-title>
<source><![CDATA[Journal of Machine Learning Research]]></source>
<year>2011</year>
<volume>12</volume>
<page-range>2825-30</page-range></nlm-citation>
</ref>
<ref id="B18">
<label>18</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rosenblatt]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[The perceptron: a probabilistic model for information storage and organization in the brain]]></article-title>
<source><![CDATA[Psychological review]]></source>
<year>1958</year>
<volume>65</volume>
<numero>6</numero>
<issue>6</issue>
<page-range>386</page-range></nlm-citation>
</ref>
<ref id="B19">
<label>19</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Saeed]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Villarroel]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Reisner]]></surname>
<given-names><![CDATA[A. T.]]></given-names>
</name>
<name>
<surname><![CDATA[Clifford]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Lehman]]></surname>
<given-names><![CDATA[L.-W.]]></given-names>
</name>
<name>
<surname><![CDATA[Moody]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Heldt]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Kyaw]]></surname>
<given-names><![CDATA[T. H.]]></given-names>
</name>
<name>
<surname><![CDATA[Moody]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Mark]]></surname>
<given-names><![CDATA[R. G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Multiparameter intelligent monitoring in intensive care II: A public-access intensive care unit database]]></article-title>
<source><![CDATA[Critical Care Medicine]]></source>
<year>2011</year>
<volume>39</volume>
<numero>5</numero>
<issue>5</issue>
<page-range>952-60</page-range></nlm-citation>
</ref>
<ref id="B20">
<label>20</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Tapak]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Shirmohammadi-Khorram]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Amini]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Alafchi]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Hamidi]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Poorolajal]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of survival and metastasis in breast cancer patients using machine learning classifiers]]></article-title>
<source><![CDATA[Clinical Epidemiology and Global Health]]></source>
<year>2018</year>
</nlm-citation>
</ref>
<ref id="B21">
<label>21</label><nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Lam]]></surname>
<given-names><![CDATA[K.-M.]]></given-names>
</name>
<name>
<surname><![CDATA[Deng]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Choi]]></surname>
<given-names><![CDATA[K.-S.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Prediction of mortality after radical cystectomy for bladder cancer by machine learning techniques]]></article-title>
<source><![CDATA[Computers in Biology and Medicine]]></source>
<year>2015</year>
<volume>63</volume>
<page-range>124-32</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
