Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods

Abstract

Our novel GB-guided classification accurately identified the prognostic subgroups of patients with EOC and showed higher accuracy than the conventional method. This approach would be useful for accurate estimation of individual outcomes of EOC patients.