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dc.creatorArias J.A.E.spa
dc.creatorSuarez Y.spa
dc.creatorCastillo I.spa
dc.date.accessioned2017-12-19T19:36:50Z
dc.date.available2017-12-19T19:36:50Z
dc.date.created2017
dc.identifier.isbn9789899843479
dc.identifier.issn21660727
dc.identifier.urihttp://hdl.handle.net/11407/4358
dc.description.abstractThe development of expert Systems to support to different areas in the medical field has important implications; it is possible to emphasize the possibility of having timely and effective treatments. Early detection of an anomaly and an effective control of this can prevent the progression of a disease. In this work, shows the progress in the design and implementation of an expert system for ophthalmologic diagnoses supported in elements of fuzzy logic to assist in the evaluation of symptoms related to the sense of vision. © 2017 AISTI.eng
dc.language.isoeng
dc.language.isospa
dc.publisherIEEE Computer Societyspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85027044904&doi=10.23919%2fCISTI.2017.7975769&partnerID=40&md5=e2ef55cfcc0f26918355bd817b07fa34spa
dc.sourceScopusspa
dc.title"Virtual clinic": Design and implementation of an expert system for ophthalmological diagnoses ['Virtual clinic': Diseño e implementación de un sistema experto para diagnósticos oftalmológicos]spa
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.contributor.affiliationArias, J.A.E., Ingeniería de Sistemas Universidad de Medellín, Colombiaspa
dc.contributor.affiliationSuarez, Y., Exsis Software y Soluciones, Colombiaspa
dc.contributor.affiliationCastillo, I., Exsis Software y Soluciones, Colombiaspa
dc.identifier.doi10.23919/CISTI.2017.7975769
dc.subject.keywordDiagnosiseng
dc.subject.keywordDisease controleng
dc.subject.keywordFuzzy logiceng
dc.subject.keywordInformation systemseng
dc.subject.keywordDesign and implementationseng
dc.subject.keywordMedical fieldseng
dc.subject.keywordExpert systemseng
dc.publisher.facultyFacultad de Ingenieríasspa
dc.abstractThe development of expert Systems to support to different areas in the medical field has important implications; it is possible to emphasize the possibility of having timely and effective treatments. Early detection of an anomaly and an effective control of this can prevent the progression of a disease. In this work, shows the progress in the design and implementation of an expert system for ophthalmologic diagnoses supported in elements of fuzzy logic to assist in the evaluation of symptoms related to the sense of vision. © 2017 AISTI.eng
dc.creator.affiliationIngeniería de Sistemas Universidad de Medellín, Colombiaspa
dc.creator.affiliationExsis Software y Soluciones, Colombiaspa
dc.relation.ispartofesIberian Conference on Information Systems and Technologies, CISTIspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.instnameinstname:Universidad de Medellínspa


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