ArticleJournal of osteoporosis2026
Sex-Specific Biological Predictors for Identifying Individuals With Low Bone Mineral Density Using the Taiwan Biobank Database.
Article in Journal of osteoporosis, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Sex-Specific Biological Predictors for Identifying Individuals With Low Bone Mineral Density Using the Taiwan Biobank Database.Journal of osteoporosis · 2026Article
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Authors and funding
5 authors.
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Abstract
Osteoporosis has seen a rapid rise in Taiwan due to its aging population. The pathogenesis of low bone mineral density (BMD) differs between women and men, highlighting the critical need to explore sex-specific biological predictor variables-an area with significant knowledge gaps. This study aimed to identify sex-specific predictors using a population database through machine learning. We conducted a retrospective cross-sectional study of 19,868 individuals aged 40 and above from the Taiwan Biobank database who had no cancer diagnosis and underwent BMD examinations between 2020 and 2022, with available demographic, laboratory, and physical examination data. The Extreme Gradient Boosting (XGBoost) model was employed to identify patterns of predictor variables for low BMD. SHapley Additive exPlanations (SHAP) were applied to visualize and interpret the contribution of each predictor to low BMD in women and men. Among participants, 63% (
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