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

Chengyi Zheng   1 , MSc, PhD ;   Jonathan Duffy   2 , MD ;   In-Lu Amy Liu   1 , MSc ;   Lina S Sy   1 , MPH ;   Ronald A Navarro   3 , MD ;   Sunhea S Kim   1 , MPH ;   Denison S Ryan   1 , MPH ;   Wansu Chen   1 , PhD ;   Lei Qian   1 , PhD ;   Cheryl Mercado   1 , MPH ;   Steven J Jacobsen   1 , MD, PhD

1 Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, CA, United States

2 Immunization Safety Office, Centers for Disease Control and Prevention, Atlanta, GA, United States

3 Kaiser Permanente South Bay Medical Center, Harbor City, CA, United States

Corresponding Author:

  • Chengyi Zheng, MSc, PhD
  • Department of Research and Evaluation
  • Kaiser Permanente Southern California
  • 100 S Los Robles Ave
  • 2nd floor
  • Pasadena, CA, 91101
  • United States
  • Phone: 1 626 986 8665
  • Email: chengyi.x.zheng@kp.org