Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women

Comparing machine learning models for osteoporosis prediction in Tibetan middle aged and elderly women

Abstract The aim of this study was to establish the optimal prediction model by comparing the prediction effect of 6 kinds of prediction models containing biochemical indexes on the risk of osteoporosis in middle-aged and elderly women in Tibet. This study adopted a multi-stage cluster random sampli...

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Bibliographic Details
Main Authors: Peng Wang, Qiang Yin, Kangzhi Ding, Huaichang Zhong, Qundi Jia, Zhasang Xiao, Hai Xiong
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Subjects:
Osteoporosis
Extreme gradient boosting
Prediction model
Tibet
Online Access:https://doi.org/10.1038/s41598-025-95707-2
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https://doi.org/10.1038/s41598-025-95707-2

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