Development and evaluation of a machine learning model for osteoporosis risk prediction in Korean women

Abstract Background The aim of this study was to develop a machine learning (ML) model for classifying osteoporosis in Korean women based on a large-scale population cohort study. This study also aimed to assess ML model performance compared with traditional osteoporosis screening tools. Furthermore...

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Bibliographic Details
Main Authors: Minkyung Je, Seunghyeon Hwang, Suwon Lee, Yoona Kim
Format: Article
Language:English
Published: BMC 2025-03-01
Series:BMC Women's Health
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Online Access:https://doi.org/10.1186/s12905-025-03669-4
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