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dc.creatorSánchez Zuleta C.C.spa
dc.creatorGiraldo Marín L.M.spa
dc.creatorPiedrahita Escobar C.C.spa
dc.creatorBonet I.spa
dc.creatorLochmüller C.spa
dc.creatorTabares Betancur M.S.spa
dc.creatorPeña A.spa
dc.date.accessioned2018-10-31T13:44:17Z
dc.date.available2018-10-31T13:44:17Z
dc.date.created2018
dc.identifier.issn7981015
dc.identifier.urihttp://hdl.handle.net/11407/4857
dc.descriptionThe exponential growth of medical data has generated the need to implement new techniques of information analysis that support decision making. The objective of this article is to identify the aggregated value that data mining models have in decision making in the information given by exploratory analysis. It was used a case study methodology for two data sets, that look to determine the malignity of detected masses, in the breasts of patients, through the interpretation of attributes registered from the mases. The results show a complementary behavior of both techniques. © 2018.spa
dc.language.isospa
dc.publisherRevista Espaciosspa
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85049863886&partnerID=40&md5=c462252022f4186979c80e6691bed755spa
dc.sourceScopusspa
dc.subjectBreast cancerspa
dc.subjectDecision Treesspa
dc.subjectK-means clusteringspa
dc.subjectMammographicspa
dc.titleEvaluation of models of decision trees and K-means models in the characterization or diagnosis of some diseases [Análisis comparativo entre: «el análisis exploratorio de datos» y los modelos de «árboles de decisión» y «kmeans » en el diagnóstico de la malignidad en algunos exámenes de cáncer de mama. Un estudio de caso]spa
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemas;Ciencias Básicasspa
dc.contributor.affiliationSánchez Zuleta, C.C., Universidad de Medellín;Giraldo Marín, L.M., Universidad de Medellín;Piedrahita Escobar, C.C., Universidad de Medellín;Bonet, I., Universidad EIA;Lochmüller, C., Universidad EIA;Tabares Betancur, M.S., Universidad EAFIT;Peña, A., Universidad EIAspa
dc.relation.citationvolume39
dc.relation.citationissue28
dc.publisher.facultyFacultad de Ingenierías;Facultad de Ciencias Básicasspa
dc.relation.ispartofesEspaciosspa
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article


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