Deep Learning With Electronic Health Records for Short-Term Fracture Risk Identification: Crystal Bone Algorithm Development and Validation.

Yasmeen Adar Almog Angshu Rai Patrick Zhang Amanda Moulaison Ross Powell Anirban Mishra Kerry R Weinberg Celeste Hamilton Mary Oates Eugene V McCloskey Steven R Cummings

Published in: Journal of medical Internet research (2020)

These findings indicate that it is possible to use a patient's unique medical history as it changes over time to predict the risk of short-term fracture. Validating and applying such a tool within the health care system could enable automated and widespread prediction of this risk and may help with identification of patients at very high risk of fracture.

Keyphrases

deep learning
electronic health record
machine learning
hip fracture
clinical decision support
bone mineral density
bioinformatics analysis
postmenopausal women
soft tissue