Prediction Of Disease Recurrence According To Surgical Approach Of Primary Radical Hysterectomy In Patients With Early-Stage Cervical Cancer Using Machine Learning Methods

Objective: Determination of the appropriate surgical approach for radical hysterectomy in each cervical cancer patient without compromising survival outcome is an important issue. Thus, we aimed to develop models predicting disease recurrence according to the surgical approach in early-stage cervical cancer.