Social determinants of health in prognostic machine learning models for orthopaedic outcomes: A systematic review
Author:
Affiliation:
1. Department of Orthopaedic Surgery, Massachusetts General Hospital Harvard Medical School Boston Massachusetts USA
2. Department of Orthopaedic Surgery, University Medical Center Utrecht Utrecht University Utrecht The Netherlands
Publisher
Wiley
Subject
Public Health, Environmental and Occupational Health,Health Policy
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jep.13765
Reference35 articles.
1. Wide range of applications for machine-learning prediction models in orthopedic surgical outcome: a systematic review
2. Machine learning prediction models in orthopedic surgery: A systematic review in transparent reporting
3. Availability and reporting quality of external validations of machine-learning prediction models with orthopedic surgical outcomes: a systematic review
4. Machine learning driven tools in orthopaedics and spine surgery: Hype or reality? Applications and perception of 31 physician opinions
5. The application of machine learning algorithms in predicting the length of stay following femoral neck fracture
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