Research Progress on Application of Machine Learning in Diagnosis and Prognosis of Ovarian Cancer / 肿瘤防治研究
Cancer Research on Prevention and Treatment
; (12): 804-808, 2021.
Article
in Zh
| WPRIM
| ID: wpr-988452
Responsible library:
WPRO
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.
Full text:
1
Database:
WPRIM
Language:
Zh
Journal:
Cancer Research on Prevention and Treatment
Year:
2021
Document type:
Article