Using machine learning to predict patients with polycystic ovary disease in Chinese women

Using machine learning to predict patients with polycystic ovary disease in Chinese women

Objective: With an estimated global frequency ranging from5 % to 21 %, polycystic ovary syndrome (PCOS) is one of the most prevalent hormonal disorders. There are many factors found to be related to PCOS. However, most of these researches used traditional methods such as multiple logistic regression...

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Bibliographic Details
Main Authors: Chen-Yu Wang, Dee Pei, Chun-Kai Wang, Jyun-Cheng Ke, Siou-Ting Lee, Ta-Wei Chu, Yao-Jen Liang
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Taiwanese Journal of Obstetrics & Gynecology
Subjects:
Machine learning
Logistic regression
Polycystic ovary syndrome
Online Access:http://www.sciencedirect.com/science/article/pii/S1028455924002791
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