Development of prediction model to estimate future risk of ovarian lesions: A multi-center retrospective study

Development of prediction model to estimate future risk of ovarian lesions: A multi-center retrospective study

Background: To develop the preoperative prediction of ovarian lesions using regression-based statistics analyses and machine learning methods based on multiple serological biomarkers in China. Methods: 1137 patients with ovarian lesions in Zhujiang Hospital and 518 patients in others hospital in Chi...

Full description

Bibliographic Details
Main Authors: Bilin Jing, Gaowen Chen, Miner Yang, Zhi Zhang, Yue Zhang, Jingyao Zhang, Juncheng Xie, Wenjie Hou, Yong Xie, Yi Huang, Lijie Zhao, Hua Yuan, Weilin Liao, Yifeng Wang
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Preventive Medicine Reports
Subjects:
Ovarian Disease
Lasso Regression
Machine Learning
Disease Prediction
AUC
Online Access:http://www.sciencedirect.com/science/article/pii/S2211335523001870

Internet

http://www.sciencedirect.com/science/article/pii/S2211335523001870

Similar Items