Intelligent System based on Artificial Neural Networks to prostate cancer diagnosis
The aim of this study is to design a intelligent system for diagnosis of prostate cancer using artificial neural networks based on clinical parameters such as age, PSA, free PSA, percent of free PSA, DRE result, prostate volume and race. More o less parameters could be used depending on the relationship between the inputs and the ouput (the diagnosis)
UNMSM