Predicting fracture risk for elderly osteoporosis patients by hybrid machine learning model.

Menghan LiuXin WeiXiaodong XingYunlong ChengZicheng MaJiwu RenXiaofeng GaoAjing Xu

Published in: Digital health (2024)

The hybrid machine learning model can be a reliable tool for predicting the risk of fracture in patients with osteoporosis. It is expected to assist clinicians in identifying high-risk fracture patients and implementing early interventions.

Keyphrases

machine learning
end stage renal disease
ejection fraction
newly diagnosed
peritoneal dialysis
prognostic factors
artificial intelligence
patient reported outcomes
palliative care
deep learning
hip fracture