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

Clinical Information and Decision Making (1915) Influenza and Influenza-Like-Illness (ILI) Surveillance (237) Machine Learning (2076) Artificial Intelligence (2129)

Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/67847, first published .
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

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 (2) 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