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Automatic extraction of social determinants of health from medical notes of chronic lower back pain patients.

Dmytro Sergiiovych LituievBenjamin LacarSang PakPeter L AbramowitschEmilia H De MarchisThomas A Peterson
Published in: Journal of the American Medical Informatics Association : JAMIA (2023)
This study developed a corpus of annotated clinical notes covering a broad spectrum of SDoH classes. This corpus provides a basis for training machine learning models and serves as a benchmark for predictive models for NER for SDoH and knowledge extraction from clinical texts.
Keyphrases
  • machine learning
  • healthcare
  • end stage renal disease
  • ejection fraction
  • newly diagnosed
  • prognostic factors
  • artificial intelligence
  • drug induced