Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

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

JMIR Theme Issue: COVID-19 Special Issue (2471) Big Data (262) Electronic Health Records (1101) Infectious Diseases (non-STD/STI) (1623) Outbreak and Pandemic Preparedness and Management (1764) Clinical Informatics (1088) Secondary Use of Clinical Data for Research and Surveillance (387) Data Science (288) Datasets (11) Open Source and Data for Public Health (25)

Published on in Vol 23, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/30697, first published .
The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

The National COVID Cohort Collaborative: Analyses of Original and Computationally Derived Electronic Health Record Data

Authors of this article:

Randi Foraker1, 2 Author Orcid Image ;   Aixia Guo2 Author Orcid Image ;   Jason Thomas3 Author Orcid Image ;   Noa Zamstein4 Author Orcid Image ;   Philip RO Payne1, 2 Author Orcid Image ;   Adam Wilcox3 Author Orcid Image ;   N3C Collaborative5
Article Authors Cited by (10) Tweetations (7) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.