Login / Signup

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
  • chronic kidney disease
  • newly diagnosed
  • peritoneal dialysis
  • palliative care
  • artificial intelligence
  • bone mineral density
  • deep learning