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Common data elements for predictors of pediatric sepsis: A framework to standardize data collection.

Alishah MawjiEdmond LiArjun ChandnaTeresa KortzSamuel AkechMatthew O WiensNiranjan KissoonMark Ansermino
Published in: PloS one (2021)
Routine use of the common data elements in future studies can allow data sharing between studies and contribute to development of powerful risk prediction algorithms. These algorithms may then be used to support clinical decision making at triage in resource-limited settings. Continued collaboration, engagement, and feedback from the pediatric sepsis research community will be important to ensure the common data elements remain applicable across a broad range of geographical and sociocultural settings.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • decision making
  • emergency department
  • intensive care unit
  • acute kidney injury
  • healthcare
  • social media
  • data analysis
  • deep learning
  • young adults