Application of machine learning on health examination data for predicting the decrease of bone mineral density

Herein, we created five machine learning algorithms to precisely predict bone density reduction. The RF model had superior performance in both male and female cohorts, attaining the highest AUROC. Implementing machine learning models in clinical implementation can improve the prevention, identification, and early intervention of bone density deterioration.

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Publication Details

Journal
International Journal of Clinical and Experimental Pathology
Published
2025-01-01
DOI
https://doi.org/10.62347/anwp5930
Primary Topic
Bone health and osteoporosis research
Type
article
Field-Weighted Citation Impact
0.00
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article

Application of machine learning on health examination data for predicting the decrease of bone mineral density

Bohan Li
International Journal of Clinical and Experimental Pathology
Bone health and osteoporosis research
article

Application of machine learning on health examination data for predicting the decrease of bone mineral density

Bohan Li
article en

Abstract

Herein, we created five machine learning algorithms to precisely predict bone density reduction. The RF model had superior performance in both male and female cohorts, attaining the highest AUROC. Implementing machine learning models in clinical implementation can improve the prevention, identification, and early intervention of bone density deterioration.

International Journal of Clinical and Experimental PathologyVol. 18(10)
Second Hospital of Shandong University (CN)
Openalex Percentile: Top 59%
Bone health and osteoporosis research
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Application of machine learning on health examination data for predicting the decrease of bone mineral density — Bohan Li · International Journal of Clinical and Experimental Pathology (2025) | TGRS Research Map | TGRS