Experiments with data from 54 patients revealed the significant potential of using the proposed machine learning model for determining if men with prostate cancer are in the low-/intermediate- or high-risk groups, without the need for additional clinical data (i.e. PSA, Gleason, clinical stage data). This evidence concerns the gene KLK3 and Familial prostate cancer.