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Type: Artigo de periódico
Title: Fuzzy expert system: An example in prostate cancer
Author: Castanho, MJD
de Barros, LC
Yamakami, A
Vendite, LL
Abstract: Fuzzy 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.
Subject: fuzzy rule-based system
prostatic neoplasms
ROC curve
Country: EUA
Editor: Elsevier Science Inc
Citation: Applied Mathematics And Computation. Elsevier Science Inc, v. 202, n. 1, n. 78, n. 85, 2008.
Rights: fechado
Identifier DOI: 10.1016/j.amc.2007.11.055
Date Issue: 2008
Appears in Collections:Unicamp - Artigos e Outros Documentos

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