Prediction Of Endometrial Cancer Recurrence By Using A Novel Machine Learning Algorithm

Objective: Endometrial cancer is the most common gynecologic malignancy in the Western world. The overall risk of recurrence is associated with traditional risk factors. Their relative significance is under debate, and new molecular signatures are being looked at. We aim to evaluate whether machine learning algorithms can predict recurrence of endometrial cancer.