Application of machine learning approaches for osteoporosis risk prediction in postmenopausal women

ConclusionIn this study, we developed and compared seven machine learning models to accurately predict osteoporosis risk. The ANN model performed best when compared to the other models, having the highest AUROC value. Applying the ANN model in the clinical environment could help primary care providers stratify osteoporosis patients and improve the prevention, detection, and early treatment of osteoporosis.
Source: Archives of Orthopaedic and Trauma Surgery - Category: Orthopaedics Source Type: research