Advanced AI-Driven Techniques for Prostate Cancer Prediction

Resumen

Prostate Cancer (PCa) is one of the most common causes of malignancy and death in men worldwide, with a higher prevalence and mortality in developing countries. Factors such as age, family history, race and certain genetic mutations are some of the factors contributing to the occurrence of PCa in men. Prostate cancer is a growth of cells that starts in the prostate. Prostate is a small gland placed below the bladder to make semen, as a part of male reproductive system. Prostate cancer is one of the most common types of cancer. Prostate cancer is usually found early, and it often grows slowly. Most people with prostate cancer are cured. People diagnosed with early prostate cancer often have many treatment options. Treatments may include surgery, radiation therapy or carefully watching the prostate cancer to see if it grows. This study aims to review various machine-learning models, which are for the prediction and early detection of prostate cancer using clinical data. Machine-learning focuses on enabling systems to learn from data and improve their performance over time without explicit programming.