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Improving patient flow during infectious disease outbreaks using machine learning for real-time prediction of patient readiness for discharge.

Jennifer A BishopHamza A JavedRasheed El-BouriTingting ZhuThomas TaylorTim PetoPeter WatkinsonDavid W EyreDavid A Clifton
Published in: PloS one (2021)
We demonstrate the efficacy of machine learning methods at making operationally focused, next-day discharge readiness predictions for all individual patients in hospital at any given moment and propose a strategy for their use within a decision-support tool during crisis periods.
Keyphrases
  • infectious diseases
  • machine learning
  • end stage renal disease
  • case report
  • ejection fraction
  • chronic kidney disease
  • peritoneal dialysis
  • public health
  • prognostic factors
  • acute care