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

• Päätekijät: Almog, Yasmeen Adar (Tekijä), Rai, Angshu (Tekijä), Zhang, Patrick (Tekijä), Moulaison, Amanda (Tekijä), Powell, Ross (Tekijä), Mishra, Anirban (Tekijä), Weinberg, Kerry (Tekijä), Hamilton, Celeste (Tekijä), Oates, Mary (Tekijä), McCloskey, Eugene (Tekijä), Cummings, Steven R (Tekijä)
• Aineistotyyppi: Kirja
• Julkaistu: JMIR Publications, 2020-10-01T00:00:00Z.
• Aiheet: article
• Linkit: Connect to this object online.

BackgroundFractures as a result of osteoporosis and low bone mass are common and give rise to significant clinical, personal, and economic burden. Even after a fracture occurs, high fracture risk remains widely underdiagnosed and undertreated. Common fracture risk assessment tools utilize a subset o...