Nomograma com Lógica Fuzzy para o Câncer de Próstata – NFCP
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Data
2010
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Resumo
We begin developing a fuzzy model aiming to predict the pathologic staging of prostate
cancer (SILVEIRA-2007). The model (also known as cancer nomogram) is composed of a fuzzy rule-based system that combines the pre-surgery data of the patient - clinic
stat, PSA level, Gleason score - keeping in mind a set of linguistic rules based on the
already knwon cancer nomograms of Kattan (STEPHENSON-2006). The output is the
odds of the patient to be in each one of the extension stages of the tumor. Several
simulations were done with data from patients of UNICAMP's Hospital das Clínicas
and the results have been compared with the Kattan probabilities. Next, we validate
our results analising the (Receiver Operating Characteristic) curve, using the database
of the same hospital. A paper about the construction of the ROC curve was written
and will be on the Revista Brasileira de Engenharia Biomédica. A software, named
NFCP - Nomograma com Lógica Fuzzy para o Câncer de Próstata, was developed using
this model. It was written in JAVA and has a GUI (graphic user interface) that can
interact with the calculating sub-routines. This software is iin process of acquiring the
patent in the Instituto Nacional da Propriedade Industrial - INPI.
Descrição
Palavras-chave
Câncer de próstata, Modelo matemático, Lógica fuzzy, Software, Biomatemática, Prostate cancer, Mathematical model, Fuzzy logic, Software, Biomathematics
Citação
SILVEIRA, Graciele Paraguaia; VENDITE, Laércio Luis; BARROS, Laécio Carvalho de. Nomograma com Lógica Fuzzy para o Câncer de Próstata – NFCP. Revista Eletrônica de Matemática, Jataí, v. 2, p. 1-11, 2010.