This paper is in the following e-collection/theme issue:

AI in Older Adult Care (40) Machine Learning (2076) Machine Learning (2076) Clinical Information and Decision Making (1915) New Methods (1134) Clinical Information and Decision Making (1915) New Methods (1134)

Published on in Vol 6 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46791, first published .
A Machine Learning–Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study

A Machine Learning–Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study

A Machine Learning–Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study

Authors of this article:

Qingling Yang1 Author Orcid Image ;   Huilin Cheng1 Author Orcid Image ;   Jing Qin1 Author Orcid Image ;   Alice Yuen Loke1 Author Orcid Image ;   Fei Wan Ngai1 Author Orcid Image ;   Ka Chun Chong2 Author Orcid Image ;   Dexing Zhang2 Author Orcid Image ;   Yang Gao3 Author Orcid Image ;   Harry Haoxiang Wang4, 5 Author Orcid Image ;   Zhaomin Liu4 Author Orcid Image ;   Chun Hao4, 6 Author Orcid Image ;   Yao Jie Xie1 Author Orcid Image
Article Authors Cited by (7) Tweetations (4) Metrics

Journals

  1. Zhao Q, Liu M, GAO K, Zhang B, Qi F, Xing T, Liu C, Gao J. Predicting 90-day risk of urinary tract infections following urostomy in bladder cancer patients using machine learning and explainability. Scientific Reports 2025;15(1) View
  2. Li H, Zhang Y, Zhang C. Development and validation of machine learning models for osteoporosis prediction in chronic kidney disease patients: Data from National Health and Nutrition Examination survey. DIGITAL HEALTH 2025;11 View
  3. Huang W, Pan Q, Peng J, Wu Y, Gao D. Interpretable machine learning model for low bone density screening in older adults using demographic and anthropometric data: findings from 2005 to 2020 NHANES. BMC Medical Informatics and Decision Making 2025;25(1) View
  4. Zhang Y, Ma M, Tian C, Liu J, Duan Z, Huang X, Geng B. A machine-learning-based osteoporosis screening tool integrating the Shapley Additive exPlanation (SHAP) method: model development and validation study. Archives of Osteoporosis 2025;20(1) View
  5. Tan J, Zhu J, He Y, Fan Z, Cai F, Zhuang H, Hu Y, Liu K, Li Q, Feng B, Guo Y, Li G, Wang B, Chen J. Unveiling risk factors and predicting osteoporosis through bone density based aging model: a community-based cohort in Guangdong, China. BMC Musculoskeletal Disorders 2025;26(1) View

Conference Proceedings

  1. Rupesh D, Reddy P, Saif M, Varun A, Sonthi V. 2024 8th International Conference on Inventive Systems and Control (ICISC). Comprehensive Analysis of Bone Health Predictive Modeling: Integrating Logistic Regression for Precise Outcome Evaluation View
  2. Jararweh M, Daraghmeh M, Ali M. 2024 International Conference on Multimedia Computing, Networking and Applications (MCNA). Exploiting Machine Learning for Osteoporosis Risk Prediction and Early Intervention View