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A Machine Learning-Based Preclinical Osteoporosis Screening Tool (POST): Model Development and Validation Study.

Qing-Ling YangEileen-Hui-Lin ChengJing QinAlice Yuen LokeVivian Wf NgaiMarc Ka Chun ChongDexing ZhangYang GaoHarry Hao-Xiang WangZhao-Min LiuChun HaoYao Jie Xie
Published in: JMIR aging (2023)
The machine learning-based POST was conveniently accessible and exhibited accurate discriminative capabilities for the prediction of osteoporosis; it might be useful to guide population-based preclinical screening of osteoporosis and clinical decision-making.
Keyphrases
  • machine learning
  • postmenopausal women
  • bone mineral density
  • decision making
  • artificial intelligence
  • cell therapy
  • big data
  • deep learning
  • stem cells
  • bone marrow
  • mesenchymal stem cells