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

Clinical Information and Decision Making (3681) Machine Learning (3152) Artificial Intelligence (4743) Influenza and Influenza-Like-Illness (ILI) Surveillance (266)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67847, first published .
Tablet showing AI Lab early screening for Influenza A and B, with blood test tubes.

Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Study

Evaluation of a Machine Learning Model Based on Laboratory Parameters for the Prediction of Influenza A and B in Chongqing, China: Multicenter Model Development and Validation Study

Authors of this article:

Weiwei Hu1, 2 Author Orcid Image ;   Yulong Liu1 Author Orcid Image ;   Jian Dong1 Author Orcid Image ;   Xuelian Peng1 Author Orcid Image ;   Chunyan Yang1 Author Orcid Image ;   Honglin Wang1 Author Orcid Image ;   Yong Chen1 Author Orcid Image ;   Shan Shi1 Author Orcid Image ;   Jin Li1 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Journals

  1. Melchane S, Elmir Y, Kacimi F, Boubchir L. A decision support approach to infectious disease classification using tweets and routine blood tests. Network Modeling Analysis in Health Informatics and Bioinformatics 2025;14(1) View
  2. Assudani P, Bhurgy A, Kollem S, Bhurgy B, Ahmad M, Kulkarni M, Bhaiyya M. Artificial intelligence and machine learning in infectious disease diagnostics: a comprehensive review of applications, challenges, and future directions. Microchemical Journal 2025;218:115802 View
  3. Kamyshnyi O, Halabitska I, Oksenych V, Kamyshna I, Petakh P, Kainov D. Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning. Reviews in Medical Virology 2026;36(1) View
  4. Dang C, Tong Y, Mo Y, Zhao Z, Li S, Liu F, Jia H, Zhao J, Xu Y, Chen H. Influenza-Like Illness Forecasting Using Multisource Data: Comparative Deep Learning Study. JMIR Medical Informatics 2026;14:e91844 View
  5. Ding Y, Lu C, Wang K, Jin D, Wu J, Tian J, Cheng F. A routine blood parameter–based nomogram to predict prolonged fever in children with primary EBV infection. Frontiers in Pediatrics 2026;14 View