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

JMIR Theme Issue: COVID-19 Special Issue (2449) Machine Learning (1447) Natural Language Processing (685) Infectious Diseases (non-STD/STI) (1563) Outbreak and Pandemic Preparedness and Management (1717) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1517) Decision Support for Health Professionals (1174) Theme Issue: Medical Informatics and COVID-19 (106)

Published on in Vol 23, No 2 (2021): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23390, first published .
Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study

Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study

Establishing Classifiers With Clinical Laboratory Indicators to Distinguish COVID-19 From Community-Acquired Pneumonia: Retrospective Cohort Study

Authors of this article:

Wanfa Dai1 Author Orcid Image ;   Pei-Feng Ke2, 3 Author Orcid Image ;   Zhen-Zhen Li4 Author Orcid Image ;   Qi-Zhen Zhuang4 Author Orcid Image ;   Wei Huang1 Author Orcid Image ;   Yi Wang2, 4 Author Orcid Image ;   Yujuan Xiong2, 3 Author Orcid Image ;   Xian-Zhang Huang2, 3 Author Orcid Image
Article Authors Cited by (16) Tweetations (2) Metrics

Journals

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