Research Progress on Application of Machine Learning in Diagnosis and Prognosis of Ovarian Cancer

Abstract

Ovarian cancer, one of the gynecological malignancies, poses a serious threat to women's health. The machine learning combines statistics and computer science. Researchers apply the machine learning to the clinical diagnosis and prognosis research of ovarian cancer. This article reviews the applications of machine learning in ovarian cancers. The results show that the predictive ability of machine learning models is better than traditional statistical models, but further test and verification are needed in prospective large-scale studies.

Keywords

• ovarian cancer
• machine learning
• diagnosis
• prognosis