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

Machine Learning (1465) JMIR Theme Issue: COVID-19 Special Issue (2452) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Decision Support for Health Professionals (1185) Electronic Health Records (1053) Research Infrastructures and Registries (59) Secondary Use of Clinical Data for Research and Surveillance (366) Infectious Diseases (non-STD/STI) (1575) Outbreak and Pandemic Preparedness and Management (1727)

Published on in Vol 10, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35190, first published .
Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)

Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)

Mining Electronic Health Records for Drugs Associated With 28-day Mortality in COVID-19: Pharmacopoeia-wide Association Study (PharmWAS)

Authors of this article:

Ivan Lerner1, 2, 3 Author Orcid Image ;   Arnaud Serret-Larmande1, 2 Author Orcid Image ;   Bastien Rance1, 3 Author Orcid Image ;   Nicolas Garcelon3, 4 Author Orcid Image ;   Anita Burgun1, 2, 3 Author Orcid Image ;   Laurent Chouchana5 Author Orcid Image ;   Antoine Neuraz1, 2, 3 Author Orcid Image
Article Authors Cited by (1) Tweetations (7) Metrics

Journals

  1. Aune D, Vardaxis I, Lindqvist B, Brumpton B, Strand L, Horn J, Bakken I, Romundstad P, Mukamal K, Ljung R, Janszky I, Sen A. Dispensed prescription medications and short-term risk of pulmonary embolism in Norway and Sweden. Scientific Reports 2024;14(1) View