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
Article Authors Cited by (1) Tweetations (4) Metrics

Journals

  1. Xia Q, Huang Q, Li J, Xu Y, Ge S, Zhang X, Li M, Yu D, Tang X, Xia Y. Evaluating the quality of home care in community health service centres: A machine learning approach. Journal of Advanced Nursing 2024 View