Fuzzy receiver operating characteristic curve: An option to evaluate diagnostic tests

dc.creatorCastanho, MJP
dc.creatorBarros, LC
dc.creatorYamakami, A
dc.creatorVendite, LL
dc.date2007
dc.dateMAY
dc.date2014-11-14T00:52:17Z
dc.date2015-11-26T17:12:28Z
dc.date2014-11-14T00:52:17Z
dc.date2015-11-26T17:12:28Z
dc.date.accessioned2018-03-29T00:00:52Z
dc.date.available2018-03-29T00:00:52Z
dc.identifierIeee Transactions On Information Technology In Biomedicine. Ieee-inst Electrical Electronics Engineers Inc, v. 11, n. 3, n. 244, n. 250, 2007.
dc.identifier1089-7771
dc.identifierWOS:000246378700002
dc.identifier10.1109/TITB.2006.879593
dc.identifierhttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/67727
dc.identifierhttp://www.repositorio.unicamp.br/handle/REPOSIP/67727
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/67727
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1281336
dc.descriptionTraditional receiver operating characteristic (ROC) analysis is widely utilized to evaluate diagnostic tests but it is restricted to dichotomous results. The aim of this study is to develop the "fuzzy receiver operating characteristic" methodology combining the fuzzy sets theory and the traditional ROC methodology, and to utilize this new tool to evaluate a diagnostic test. We review traditional ROC analysis in mathematical language that utilizes crisp sets and rewrites it based on fuzzy sets. Fuzzy ROC analysis is used to evaluate a fuzzy- rule-based system (FRBS) developed to predict the pathological stage of a prostate cancer in its ability to discriminate between two states: organ-confined and non-confined. Traditional ROC analysis is insufficient to evaluate this system because the result is given in possibilistic terms. The methodology developed in this work is a generalization of the dichotomous ROC analysis, and appears to better represent the performance of diagnostic tests that include a degree of uncertainty similar to the one presented here.
dc.description11
dc.description3
dc.description244
dc.description250
dc.languageen
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.publisherPiscataway
dc.publisherEUA
dc.relationIeee Transactions On Information Technology In Biomedicine
dc.relationIEEE T. Inf. Technol. Biomed.
dc.rightsfechado
dc.rightshttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dc.sourceWeb of Science
dc.subjectdiagnostic tests
dc.subjectfuzzy-rule-based system (FRBS)
dc.subjectprostatic neoplasms
dc.subjectreceiver operating characteristic (ROC) curve
dc.subjectsensitivity and specificity
dc.subjectDecision-making
dc.subjectRoc Curves
dc.subjectPerformance
dc.subjectSets
dc.titleFuzzy receiver operating characteristic curve: An option to evaluate diagnostic tests
dc.typeArtículos de revistas


Este ítem pertenece a la siguiente institución