Construction of predictive model for osteoporosis related factors among postmenopausal women on the basis of logistic regression and Bayesian network

Construction of predictive model for osteoporosis related factors among postmenopausal women on the basis of logistic regression and Bayesian network

Osteoporosis is a prevalent chronic disease that often goes unnoticed in postmenopausal women. Early identification of risk factors for osteoporosis in postmenopausal women is essential. This study aimed to develop predictive models for osteoporosis-related factors among postmenopausal women in the...

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Bibliographic Details
Main Authors: Yanqian Wu, Jianqian Chao, Min Bao, Na Zhang, Leixia Wang
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Preventive Medicine Reports
Subjects:
Osteoporosis
Postmenopausal women
Influencing factors
Bayesian network
Multiple logistic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S2211335523002693

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http://www.sciencedirect.com/science/article/pii/S2211335523002693

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