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Validation of a machine learning algorithm for early severe sepsis prediction: a retrospective study predicting severe sepsis up to 48 h in advance using a diverse dataset from 461 US hospitals.

Hoyt BurdickEduardo PinoDenise Gabel-ComeauCarol GuJonathan RobertsSidney LeJoseph SloteNicholas SaberEmily PellegriniAbigail Green-SaxenaJana L. HoffmanRitankar Das
Published in: BMC Medical Informatics Decis. Mak. (2020)
Keyphrases
  • real time
  • data sets
  • wide variety
  • benchmark datasets
  • theoretical framework
  • real world
  • artificial neural networks
  • prediction accuracy