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Optimal intensive care outcome prediction over time using machine learning.

Christopher MeiringAbhishek DixitSteve HarrisNiall S MacCallumDavid A BrealeyPeter J WatkinsonAndrew JonesSimon AshworthRichard BealeStephen J BrettMervyn SingerAri Ercole
Published in: PloS one (2018)
This has implications for decision making in intensive care and provides a justification for time-limited trials of ICU therapy; the assessment of prognosis over more than one day may be a valuable strategy as new information on the second day helps to differentiate outcomes. New ML models based on trend data beyond the first day could greatly improve upon current risk stratification tools.
Keyphrases
  • intensive care unit
  • electronic health record
  • mechanical ventilation
  • health information
  • healthcare
  • stem cells
  • type diabetes
  • machine learning
  • skeletal muscle
  • acute respiratory distress syndrome