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Social determinants of health in prognostic machine learning models for orthopaedic outcomes: A systematic review.

Amanda LansLaura N KanbierDavid N BernsteinOlivier Q GrootPaul T OginkDaniel G TobertJorrit-Jan VerlaanJoseph H Schwab
Published in: Journal of evaluation in clinical practice (2022)
The current level of reporting and consideration of SDOH during the development of prognostic ML models for orthopaedic outcomes is limited. Healthcare providers should be critical of the models they consider using and knowledgeable regarding the quality of model development, such as adherence to recognized methodological standards. Future efforts should aim to avoid bias and disparities when developing ML-driven applications for orthopaedics.
Keyphrases
  • healthcare
  • machine learning
  • public health
  • quality improvement
  • health information
  • artificial intelligence
  • metabolic syndrome
  • glycemic control
  • risk assessment
  • big data
  • social media