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Dynamic prediction of work status for workers with occupational injuries: assessing the value of longitudinal observations.

Erkin ÖtleşJon SeymourHaozhu WangBrian T Denton
Published in: Journal of the American Medical Informatics Association : JAMIA (2022)
The longitudinal approach outperforms current practice and shows potential for leveraging observational data to dynamically update predictions of RTW in the setting of OI. This approach may enable physicians and workers' compensation programs to manage large populations of injured workers more effectively.
Keyphrases
  • primary care
  • cross sectional
  • healthcare
  • electronic health record
  • big data
  • risk assessment
  • human health
  • deep learning
  • data analysis