Menopause (New York, N.Y.)
Deciphering the predictors of endometrial nonbenign lesions in asymptomatic postmenopausal women via explainable machine learning.
Linlin Yang, Chen Xu, Rongjia Su, Xiaoyan Gao, Baoying Ye, Yuan Liu, Jing Wang, Yidan Chen, Qiong Fan, Jiangjing Yuan, Xiaojing Lu, Dongjian Yang, Yuhong Li, Yudong Wang
Published: 202610.1097/GME.0000000000002699
Abstract
OBJECTIVES: Timely identification of endometrial nonbenign lesions led to improved outcomes, but there was a lack of effective predictive models for asymptomatic endometrial thickening. The aim of this study was to develop a strong machine learning (…
Preview only. Read the full abstract at the source