<?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>1886-5887</journal-id>
<journal-title><![CDATA[Revista de Bioética y Derecho]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. Bioética y Derecho]]></abbrev-journal-title>
<issn>1886-5887</issn>
<publisher>
<publisher-name><![CDATA[Observatori de Bioètica i Dret - Cátedra UNESCO de Bioética]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1886-58872020000300019</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Inteligencia artificial y Big Data como soluciones frente a la COVID-19]]></article-title>
<article-title xml:lang="en"><![CDATA[Artificial intelligence and Big Data as solutions to COVID-19]]></article-title>
<article-title xml:lang="ca"><![CDATA[Intel·ligència Artificial i Big Data per fer front a la COVID-19]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Márquez Díaz]]></surname>
<given-names><![CDATA[Jairo]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Cundinamarca  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Colombia</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<numero>50</numero>
<fpage>315</fpage>
<lpage>331</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_arttext&amp;pid=S1886-58872020000300019&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_abstract&amp;pid=S1886-58872020000300019&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.isciii.es/scielo.php?script=sci_pdf&amp;pid=S1886-58872020000300019&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen La inteligencia artificial y el Big Data se articulan para poder lidiar con diferentes problemas relacionados con el análisis de datos masivos, en particular información de la COVID-19. En el presente artículo se muestran algunos proyectos de investigación relacionados con el aprendizaje profundo, el aprendizaje automático, el Big Data y la ciencia de datos, tendientes a dar soluciones plausibles bien en el monitoreo, detección, diagnóstico y tratamiento de las enfermedades asociadas con el virus. Con esto en mente, se muestra la correspondencia entre las tecnologías disruptivas y la información crítica, creando sinergias que permiten elaborar sistemas más avanzados de estudio y análisis facilitando la obtención de datos relevantes para la toma de decisiones sanitarias.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Artificial intelligence and Big Data are articulated to be able to deal with different problems related to the analysis of big data, in particular, information from the COVID-19. In this sense, this article shows some research projects related to deep learning, machine learning, Big Data and data science, aimed to provide plausible solutions in monitoring, detection, diagnosis and treatment of diseases associated with the virus. The correspondence between disruptive technologies and critical information is shown, creating synergies that allow the development of more advanced systems of study and analysis, facilitating the obtaining of relevant data for health decision-making.]]></p></abstract>
<abstract abstract-type="short" xml:lang="ca"><p><![CDATA[Resum La Intel·ligència Artificial i el Big Data s'articulen per poder fer front a diferents problemes relacionats amb l'anàlisi de dades massiu, concretament, informació relativa a la COVID-19. En aquest sentit, en el present article es mostren alguns projectes d'investigació relacionats amb l'aprenentatge profund, l'aprenentatge automàtic, el Big Data i la ciència de dades, capaços de donar solucions plausibles en el monitoratge, detecció, diagnòstic i tractament de les malalties associades amb el virus. Amb això en ment, es mostra la correspondència entre les tecnologies disruptives i la informació crítica, creant sinergies que permeten elaborar sistemes més avançats d'estudi i anàlisi facilitant l'obtenció de dades rellevants per a la presa de decisions sanitàries.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[algoritmos de aprendizaje]]></kwd>
<kwd lng="es"><![CDATA[analítica avanzada]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje automático]]></kwd>
<kwd lng="es"><![CDATA[aprendizaje profundo]]></kwd>
<kwd lng="es"><![CDATA[ciencia de datos]]></kwd>
<kwd lng="es"><![CDATA[pandemia]]></kwd>
<kwd lng="es"><![CDATA[representación de datos]]></kwd>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[learning algorithms]]></kwd>
<kwd lng="en"><![CDATA[advanced analytics]]></kwd>
<kwd lng="en"><![CDATA[machine learning]]></kwd>
<kwd lng="en"><![CDATA[deep learning]]></kwd>
<kwd lng="en"><![CDATA[data science]]></kwd>
<kwd lng="en"><![CDATA[pandemic]]></kwd>
<kwd lng="en"><![CDATA[data representation]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="ca"><![CDATA[algorismes d'aprenentatge]]></kwd>
<kwd lng="ca"><![CDATA[analítica avançada]]></kwd>
<kwd lng="ca"><![CDATA[aprenentatge automàtic]]></kwd>
<kwd lng="ca"><![CDATA[aprenentatge profund]]></kwd>
<kwd lng="ca"><![CDATA[ciència de dades]]></kwd>
<kwd lng="ca"><![CDATA[pandèmia]]></kwd>
<kwd lng="ca"><![CDATA[representació de dades]]></kwd>
<kwd lng="ca"><![CDATA[COVID-19]]></kwd>
</kwd-group>
</article-meta>
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