<?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>1405-7743</journal-id>
<journal-title><![CDATA[Ingeniería, investigación y tecnología]]></journal-title>
<abbrev-journal-title><![CDATA[Ing. invest. y tecnol.]]></abbrev-journal-title>
<issn>1405-7743</issn>
<publisher>
<publisher-name><![CDATA[Universidad Nacional Autónoma de México, Facultad de Ingeniería]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1405-77432017000400457</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Clasificación binaria para la predicción de trombosis]]></article-title>
<article-title xml:lang="en"><![CDATA[Binary classification to predict familiar thrombosis]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez-Salvador]]></surname>
<given-names><![CDATA[Blanca Rosa]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Sánchez-Lordméndez]]></surname>
<given-names><![CDATA[Carlos Gabriel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Baptista-González]]></surname>
<given-names><![CDATA[Héctor Alfredo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Autónoma Metropolitana Matematicas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Nacional Autónoma de México Colegio de Ciencias y Humanidades ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Nacional de Perinatologia Hematologia perinatal ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2017</year>
</pub-date>
<volume>18</volume>
<numero>4</numero>
<fpage>457</fpage>
<lpage>464</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-77432017000400457&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-77432017000400457&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-77432017000400457&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La trombosis, como otros problemas de salud, puede ser de difícil diagnóstico. El diagnostico corresponde a un problema de clasificación. En este trabajo se resuelve un problema de clasificación usando software libre sobre una base de datos de pacientes del Instituto Nacional de Perinatología Isidro Espinoza Reyes con Síndrome de Anticuerpos Antifosfolípido (SAAF) y pacientes con trombosis sin SAAF. El trabajo analizó el riesgo de que una persona padezca la enfermedad mencionada. El estudio comprende rutinas de selección de variables, de imputación y dos de clasificación, una basada en regresión logística y la otra en el cociente de verosimilitud. Los resultados muestran que la clasificación basada en el cociente de verosimilitud fue mejor que la clasificación hecha con la regresión logística.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Thrombosis and other health problems can be difficult to diagnose. The diagnosis is a classification problem. In this work a classification problem is solved using free software on a database of patients from the National Institute of Perinatology Isidro Reyes Espinoza (Instituto Nacional de Perinatología Isidro Espinoza Reyes) with thrombosis problems. In this work the risk that a person will develop the disease mentioned was analyzed. The study includes, variables selection, imputation and analysis of two classification methods: one based on logistic regression and the other in the likelihood ratio. The results indicate that the likelihood ratio classification was better than logistic regression classification.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[clasificación binaria]]></kwd>
<kwd lng="es"><![CDATA[regresión logística]]></kwd>
<kwd lng="es"><![CDATA[lema de Neyman-Pearson]]></kwd>
<kwd lng="es"><![CDATA[devianza]]></kwd>
<kwd lng="en"><![CDATA[binary classification]]></kwd>
<kwd lng="en"><![CDATA[logistic regression]]></kwd>
<kwd lng="en"><![CDATA[Neyman-Pearson lemma]]></kwd>
<kwd lng="en"><![CDATA[deviance]]></kwd>
</kwd-group>
</article-meta>
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