Attempt to predict early recurrence of prostate cancer following prostatectomy through machine learning

In the developed world, prostate cancer (PC) is the most common malignancy in men and the second major cause of cancer deaths (1). The disease progresses from high grade prostatic intra-epithelial neoplasia (HGPIN) to carcinoma. Primary PCs can be managed with a variety of options including watchful waiting, radical prostatectomy (RP), and radiation.