Construction of a prediction model for moderate to severe perimenopausal syndrome based on machine learning algorithms

Construction of a prediction model for moderate to severe perimenopausal syndrome based on machine learning algorithms

Objective To identify risk factors for perimenopausal syndrome (PMS) among perimenopausal women using machine learning algorithms, and to construct a predictive model for the risk of developing moderate to severe PMS in perimenopausal women. Methods Perimenopausal women from 48 communites in Pudong...

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Bibliographic Details
Main Authors: ZHANG Min, GU Tingting, GUAN Wei, LIU Xiangxiang, SHI Junyao
Format: Article
Language:zho
Published: Editorial Office of New Medicine 2024-08-01
Series:Yixue xinzhi zazhi
Subjects:
perimenopausal syndrome
perimenopausal women
machine learning
prediction
Online Access:https://yxxz.whuznhmedj.com/futureApi/storage/attach/2408/VkKxzxor1ZuT53BfGiqnmvp0XscH9CmKpOwhQWY2.pdf
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