Rongxuan Xu, Yongxing Chen, Zhihan Yao, Wei Wu, Jiaxue Cui, Ruiqi Wang, Yizhuo Diao, Chenxin Jin, Zhijun Hong, Xiaofeng Li
BACKGROUND: Osteoporosis is becoming more common worldwide, imposing a substantial burden on individuals and society. The onset of osteoporosis is subtle, early detection is challenging, and population-wide screening is infeasible. Thus, there is a need to develop a method to identify those at high risk for osteoporosis. OBJECTIVE: This study aimed to develop a machine learning algorithm to effectively identify people with low bone density, using readily available demographic and blood biochemical data...
2024: Frontiers in Public Health