Ovarian cancer (OC) is one of the most lethal gynecologic cancer worldwide, and survival prediction is meaningful for personalized treatment. The survival outcome of cancer patients mainly depended on the malignancy of the primary tumor which is tightly linked with the expression profile of the molecular features. Therefore, in this study, we developed a molecular feature-based survival prediction model of OC using a deep neural network (DNN).