Research Progress on Application of Machine Learning in Diagnosis and Prognosis of Ovarian Cancer
10.3971/j.issn.1000-8578.2021.20.1396
- VernacularTitle:机器学习在卵巢癌诊断与预后中应用的研究进展
- Author:
Hanyuan WANG
1
;
Zhiying ZHAO
;
Tingting GONG
;
Yuhong ZHAO
;
Qijun WU
Author Information
1. Department of Clinical Epidemiology, Shengjing Hospital, China Medical University, Shenyang 110004, China
- Publication Type:Research Article
- Keywords:
Ovarian cancer;
Machine learning;
Diagnosis;
Prognosis
- From:
Cancer Research on Prevention and Treatment
2021;48(8):804-808
- CountryChina
- Language:Chinese
-
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.
