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dc.contributor.CRUESPUniversidade Estadual de Campinaspt_BR
dc.typeArtigo de periódicopt_BR
dc.titleFuzzy expert system: An example in prostate cancerpt_BR
dc.contributor.authorCastanho, MJDpt_BR
dc.contributor.authorde Barros, LCpt_BR
dc.contributor.authorYamakami, Apt_BR
dc.contributor.authorVendite, LLpt_BR
unicamp.author.emailzeza@unicentro.brpt_BR
unicamp.authorde Paula Castanho, Maria Jose Univ Estadual Centrooeste, Dept Math, BR-85015430 Guarapuava, PR, Brazilpt_BR
unicamp.authorde Barros, Laecio Carvalho Vendite, Laercio Luis Univ Estadual Campinas, Dept Appl Math IMECC, BR-13083859 Campinas, SP, Brazilpt_BR
unicamp.authorYamakami, Akebo Univ Estadual Campinas, Dept Telemat FEEC, BR-13083970 Campinas, SP, Brazilpt_BR
dc.subjectfuzzy rule-based systempt_BR
dc.subjectprognosispt_BR
dc.subjectprostatic neoplasmspt_BR
dc.subjectROC curvept_BR
dc.subject.wosPathological Stagept_BR
dc.subject.wosModelpt_BR
dc.description.abstractFuzzy set theory has been applied to many fields in which uncertainty is present as, for example, in medical diagnosis. In this paper, we propose a fuzzy expert system as an alternative to predict pathological stage of prostate cancer. Utilizing uncertain variables and approximate reasoning we construct a fuzzy rule-based system. Data of 190 patients submitted to radical prostatectomy were analyzed, seeking the test performance by the receiver operating characteristic (ROC) curve. The fuzzy expert system constructed is an additional tool to predict the pathological stage of prostate cancer and has a performance that is similar to the one presented by probability tables. (c) 2007 Elsevier Inc. All rights reserved.pt
dc.relation.ispartofApplied Mathematics And Computationpt_BR
dc.relation.ispartofabbreviationAppl. Math. Comput.pt_BR
dc.publisher.cityNew Yorkpt_BR
dc.publisher.countryEUApt_BR
dc.publisherElsevier Science Incpt_BR
dc.date.issued2008pt_BR
dc.date.monthofcirculationAUGpt_BR
dc.identifier.citationApplied Mathematics And Computation. Elsevier Science Inc, v. 202, n. 1, n. 78, n. 85, 2008.pt_BR
dc.language.isoenpt_BR
dc.description.volume202pt_BR
dc.description.issuenumber1pt_BR
dc.description.firstpage78pt_BR
dc.description.lastpage85pt_BR
dc.rightsfechadopt_BR
dc.rights.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policypt_BR
dc.sourceWeb of Sciencept_BR
dc.identifier.issn0096-3003pt_BR
dc.identifier.wosidWOS:000258103700007pt_BR
dc.identifier.doi10.1016/j.amc.2007.11.055pt_BR
dc.date.available2014-11-13T23:33:49Z
dc.date.available2015-11-26T17:12:01Z-
dc.date.accessioned2014-11-13T23:33:49Z
dc.date.accessioned2015-11-26T17:12:01Z-
dc.description.provenanceMade available in DSpace on 2014-11-13T23:33:49Z (GMT). No. of bitstreams: 1 WOS000258103700007.pdf: 231930 bytes, checksum: fb2968e5ee0719c619d99fc969fe56da (MD5) Previous issue date: 2008en
dc.description.provenanceMade available in DSpace on 2015-11-26T17:12:01Z (GMT). No. of bitstreams: 2 WOS000258103700007.pdf: 231930 bytes, checksum: fb2968e5ee0719c619d99fc969fe56da (MD5) WOS000258103700007.pdf.txt: 22402 bytes, checksum: 6135578bf5a9c398f3fee7a41b5e5c91 (MD5) Previous issue date: 2008en
dc.identifier.urihttp://www.repositorio.unicamp.br/jspui/handle/REPOSIP/67716pt_BR
dc.identifier.urihttp://www.repositorio.unicamp.br/handle/REPOSIP/67716
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/67716-
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