Login / Signup

Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU.

Oisín FitzgeraldOscar Perez-ConchaBlanca GallegoManoj K SaxenaLachlan RuddAlejandro Metke-JimenezLouisa R Jorm
Published in: Journal of the American Medical Informatics Association : JAMIA (2021)
We demonstrate that EMRs can be used to train ML algorithms that may be suitable for incorporation into ICU decision support systems.
Keyphrases
  • blood glucose
  • machine learning
  • intensive care unit
  • mechanical ventilation
  • deep learning
  • glycemic control
  • case report
  • blood pressure
  • high speed
  • type diabetes
  • adipose tissue
  • high resolution
  • skeletal muscle