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

Pharmacovigilance (134) Electronic Health Records (1053) Vaccination and Immunization in the Digital Age (374) Natural Language Processing (692) Machine Learning (1465) Artificial Intelligence (1371) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Secondary Use of Clinical Data for Research and Surveillance (366)

Published on in Vol 8, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://www.medrxiv.org/content/10.1101/2021.05.05.21256555v1, first published .
Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method

Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method

Identifying Cases of Shoulder Injury Related to Vaccine Administration (SIRVA) in the United States: Development and Validation of a Natural Language Processing Method

Authors of this article:

Chengyi Zheng1 Author Orcid Image ;   Jonathan Duffy2 Author Orcid Image ;   In-Lu Amy Liu1 Author Orcid Image ;   Lina S Sy1 Author Orcid Image ;   Ronald A Navarro3 Author Orcid Image ;   Sunhea S Kim1 Author Orcid Image ;   Denison S Ryan1 Author Orcid Image ;   Wansu Chen1 Author Orcid Image ;   Lei Qian1 Author Orcid Image ;   Cheryl Mercado1 Author Orcid Image ;   Steven J Jacobsen1 Author Orcid Image
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