Mathematical models to predict the pathological stage and to describe the growth of the prostate cancer based on the fuzzy sets theory / Construção e avaliação de um modelo matematico para predizer a evolução do cancer de prostata e descrever seu crescimento utilizando a teoria dos conjuntos fuzzy

AUTOR(ES)
DATA DE PUBLICAÇÃO

2005

RESUMO

Nowadays, prostate cancer is the second most common man cancer diagnosed in Brazil. Predicting the cancer stage from available clinical information to decide the therapy to be used is hard work. ln this study a mathematical model is developed to assist the physician in this task. The fuzzy sets theory provides effective tools to handle and manipulate imprecise data and to make decisions based on such data. As imprecision is a characteristic of medical concepts, this theory is utilized not oniy to develop the model as to develop the methodology for its evaluation, based on ROC (Receiver Operating Characteristic) analysis. To evaluate its performance, data from the American Cancer lnstitute were used. The results indicate that the model is able to discriminate patients with organ-confined disease from those with non-confined cancer. In addition, considering the growth rate as an uncertain, changeable parameter in the population, a model to describe the tumor growth is suggested

ASSUNTO(S)

conjuntos difusos prostata - cancer prostate cancer fuzzy sets theory

ACESSO AO ARTIGO

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