On the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosis

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dc.contributor.authorOrjuela-Cañón, Alvaro Davidspa
dc.contributor.authorPosada-Quintero, Hugo Fernandospa
dc.contributor.authorCesar Hernando, Valenciaspa
dc.contributor.authorMendoza, Leonardospa
dc.coverage.campusCRAI-USTA Bogotáspa
dc.date.accessioned2019-08-06T17:48:45Zspa
dc.date.available2019-08-06T17:48:45Zspa
dc.date.issued2018-09-13spa
dc.description.abstractArtificial neural networks are being used in diagnosis support systems to detect different kind of diseases. As the design of multilayer perceptron is an open question, the present work shows a comparison between a traditional empirical way and neuroevolution method to find the best architecture to solve the disease detection problem. Tuberculosis and appendicitis databases were employed to test both proposals. Results show that neuroevolution offers a good alternative for the tuberculosis problem but there is lacks of performance in the appendicitis one.spa
dc.description.domainhttp://unidadinvestigacion.usta.edu.cospa
dc.format.mimetypeapplication/pdfspa
dc.identifier.doihttps://doi.org/10.1007/978-3-030-00350-0_15spa
dc.identifier.urihttp://hdl.handle.net/11634/17997
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dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/2.5/co/*
dc.subject.keywordNeuroevolutionspa
dc.subject.keywordArtificial neural networksspa
dc.subject.keywordDiagnosis support systemsspa
dc.subject.keywordTuberculosisspa
dc.subject.keywordAppendicitisspa
dc.titleOn the use of neuroevolutive methods as support tools for diagnosing appendicitis and tuberculosisspa
dc.type.categoryGeneración de Nuevo Conocimiento: Artículos publicados en revistas especializadas - Electrónicosspa

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