A lot of work has already been done to predict disease progression by statistical tools[5, 6] as well as by artificial neural network.[7, 8] Recently, Luigi Benecchi[9] used the neuro-fuzzy system to diagnose prostate cancer and compared its predictive accuracy with that obtained by total PSA and percent-free PSA. This evidence concerns the gene KLK3 and Familial prostate cancer.