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Machine learning‐based mortality prediction in hip fracture patients using biomarkers

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Year: 2023
Type: article
Study design: Observational Study
Source: Journal of Orthopaedic Research®
DOI: 10.1002/jor.25675
Authors: George Asrian, Abhinav Suri, Chamith Rajapakse
Institutions: University of Pennsylvania, University of California, Los Angeles
Language: English

Topic: Hip and Femur Fractures
Subfield: Surgery
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: closed

Funders: National Institutes of Health, National Institute of Arthritis and Musculoskeletal and Skin Diseases
Awards: G5009945547, MRI Assessment of Hip Fracture Risk and Therapy Response in HIV/HCV Coinfection
OpenAlex ID: W4386878253
FWCI: 2.846
Cites: 28
Cited by: 12
Related to: 10
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