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

Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Infectious Diseases (non-STD/STI) (1490) Vaccination and Immunization in the Digital Age (347) Innovative Methods in Public Health and Surveillance (307) Theme Issue: Bayesian Methods In Medical Research (26)

Published on in Vol 8, No 3 (2022): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25658, first published .
A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

A Bayesian Network to Predict the Risk of Post Influenza Vaccination Guillain-Barré Syndrome: Development and Validation Study

Authors of this article:

Yun Huang1, 2 Author Orcid Image ;   Chongliang Luo3, 4 Author Orcid Image ;   Ying Jiang5 Author Orcid Image ;   Jingcheng Du6 Author Orcid Image ;   Cui Tao6 Author Orcid Image ;   Yong Chen3 Author Orcid Image ;   Yuantao Hao1, 7 Author Orcid Image
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