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Using machine learning to classify patients on opioid use.

Shirong ZhaoJamie BrowningYan CuiJunling Wang
Published in: Journal of pharmaceutical health services research : an official journal of the Royal Pharmaceutical Society of Great Britain (2021)
The results of this study demonstrate that ML techniques can be a promising and powerful technique in predicting the frequency of opioid use and health outcomes.
Keyphrases
  • end stage renal disease
  • newly diagnosed
  • ejection fraction
  • chronic kidney disease
  • prognostic factors
  • peritoneal dialysis
  • patient reported outcomes
  • patient reported