Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey

The RF model in female CKD patients demonstrated strong predictive performance for osteoporosis, while models for males were less effective.

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Publication Details

Journal
Digital Health
Published
2025-05-01
DOI
https://doi.org/10.1177/20552076251357758
Citations
2
Primary Topic
Artificial Intelligence in Healthcare
Type
article
Field-Weighted Citation Impact
5.88
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article

Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey

Chong Zhang, Hui Li, Ya Zhang
2 citations
Digital Health
Artificial Intelligence in Healthcare
5.88
article

Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey

Chong Zhang, Hui Li, Ya Zhang
article en
2 citations

Abstract

The RF model in female CKD patients demonstrated strong predictive performance for osteoporosis, while models for males were less effective.

Digital HealthVol. 11
Shanghai Jiao Tong University (CN), XinHua Hospital (CN)
Openalex Percentile: Top 4%
Artificial Intelligence in Healthcare
5.88
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