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Machine learning to assist clinical decision-making during the COVID-19 pandemic.

Shubham DebnathDouglas P BarnabyKevin CoppaAlexander MakhnevichEun Ji KimSaurav ChatterjeeViktor TóthTodd J LevyMarc D ParadisStuart L CohenJamie S HirschTheodoros P Zanosnull null
Published in: Bioelectronic medicine (2020)
This perspective highlights the utility of evidence-based prediction tools in a number of clinical settings, and how similar models can be deployed during the COVID-19 pandemic to guide hospital frontlines and healthcare administrators to make informed decisions about patient care and managing hospital volume.
Keyphrases
  • healthcare
  • machine learning
  • decision making
  • acute care
  • emergency department
  • artificial intelligence
  • health information
  • big data