This paper is in the following e-collection/theme issue:

JMIR Theme Issue: COVID-19 Special Issue (2488) Artificial Intelligence (1666) Clinical Information and Decision Making (1604) Decision Support for Health Professionals (1324) Machine Learning (1688) Infectious Diseases (non-STD/STI) (1649) Outbreak and Pandemic Preparedness and Management (1777) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1529)

Published on in Vol 22, No 12 (2020): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/24048, first published .
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

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

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

Authors of this article:

Timothy B Plante1, 2 Author Orcid Image ;   Aaron M Blau2 Author Orcid Image ;   Adrian N Berg3, 4 Author Orcid Image ;   Aaron S Weinberg5 Author Orcid Image ;   Ik C Jun5 Author Orcid Image ;   Victor F Tapson5 Author Orcid Image ;   Tanya S Kanigan4 Author Orcid Image ;   Artur B Adib4 Author Orcid Image
Article Authors Cited by (34) Tweetations (14) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.