<?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>S1405-55462024000301077</article-id>
<article-id pub-id-type="doi">10.13053/cys-28-3-4961</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Respiratory Disease Pre-Diagnosis through a Novel Pattern Classification Algorithm based on Associative Memories]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Velázquez-González]]></surname>
<given-names><![CDATA[Osvaldo D.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Villuendas-Rey]]></surname>
<given-names><![CDATA[Yenny]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Politécnico Nacional Centro de Investigación en Computación ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Politécnico Nacional Centro de Innovación y Desarrollo Tecnológico en Cómputo ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2024</year>
</pub-date>
<volume>28</volume>
<numero>3</numero>
<fpage>1077</fpage>
<lpage>1090</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1405-55462024000301077&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1405-55462024000301077&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1405-55462024000301077&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract: In this paper, the Subtractive Threshold Associative Classifier (STAC), a novel supervised machine learning model, is presented. The main contribution of the proposed model is to have the capability to adequately deal with medical dataset for the pre-diagnosis of respiratory disease and class imbalance data complexity without applying any other pre-processing technique, obtained competitive results. Furthermore, the proposed algorithm is interpretable and transparent, since the reasons why a test pattern was classified as belonging to a specific class. The experimental results were validated with the purpose of finding possible significant differences in performance; For this, statistical tests were used. It is necessary to emphasize that the experimental tests carried out allow us to verify that the novel proposed algorithm is competitive against the most used algorithms in the state of the art.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Machine learning]]></kwd>
<kwd lng="en"><![CDATA[pattern classification]]></kwd>
<kwd lng="en"><![CDATA[associative memories]]></kwd>
<kwd lng="en"><![CDATA[respiratory diseases]]></kwd>
</kwd-group>
</article-meta>
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