Development and External Validation of a Machine Learning Tool to Rule Out COVID-19 Among Adults in the Emergency Department Using Routine Blood Tests: A Large, Multicenter, Real-World Study.

Journal: Journal of medical Internet research
PMID: 33226957

Abstract

BACKGROUND: Conventional diagnosis of COVID-19 with reverse transcription polymerase chain reaction (RT-PCR) testing (hereafter, PCR) is associated with prolonged time to diagnosis and significant costs to run the test. The SARS-CoV-2 virus might lead to characteristic patterns in the results of widely available, routine blood tests that could be identified with machine learning methodologies. Machine learning modalities integrating findings from these common laboratory test results might accelerate ruling out COVID-19 in emergency department patients.

Authors

  • Timothy B Plante
    Larner College of Medicine at the University of Vermont, Colchester, VT, United States.
  • Aaron M Blau
    University of Vermont Medical Center, Burlington, VT, United States.
  • Adrian N Berg
    Larner College of Medicine at the University of Vermont, Burlington, VT, United States.
  • Aaron S Weinberg
    Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Ik C Jun
    Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Victor F Tapson
    Cedars-Sinai Medical Center, Los Angeles, CA, United States.
  • Tanya S Kanigan
    Biocogniv Inc, South Burlington, VT, United States.
  • Artur B Adib
    Biocogniv Inc, South Burlington, VT, United States.

Keywords

External Resources

Popular Topics
Recent Journals