Machine learning-driven clinical decision support for low bone mineral density: A web-based prediction model with explainable AI integration

• Published in: Bone (New York, N.Y.) Vol. 200; p. 117592
• Main Authors: Yang, Xing, Liu, Jianyuan, Huang, Xiaozhi, Liang, Hao, Cui, Ping, He, Shiran, Zhang, Heng, Liao, Wenping, Zhang, Guangkun, Huang, Qianqian, Ning, Huan, Luo, Tingyan, Luo, Yinghua, Li, Wei, Huang, Jiegang
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2025
• Subjects: LIME; Logistic regression; Low bone mineral density; Machine learning; Prediction model; Risk factors; SHAP; Logistic regression; SHAP; Low bone mineral density; LIME; Machine learning; Prediction model; Risk factors

Low bone mineral density (LBMD), which includes osteopenia and osteoporosis, is associated with substantial health care costs. However, current diagnostic methods for LBMD are limited in terms of accuracy and accessibility. This study aims to develop an interpretable machine learning model for LBMD...