Developing Machine Learning Models Based on Clinical Manifestations to Predict Influenza — Chongqing Municipality, China, 2022–2023
These findings provide evidence-based clinical manifestations for influenza prediction and offer an optimized definition of ILI for improved surveillance and early detection.
Authors
- Yajuan Chen (ORCID: https://orcid.org/0000-0002-5781-4959)
- Weimin Zhu (ORCID: https://orcid.org/0000-0002-2420-0731)
- Qianqian Zeng
- Li Feng (ORCID: https://orcid.org/0000-0002-8252-9463)
- Guangzhao Yi
- Long Jiang (ORCID: https://orcid.org/0000-0003-4607-8068)
- Hongyu Zhou (ORCID: https://orcid.org/0000-0001-9215-5947)
- Zhe Yuan (ORCID: https://orcid.org/0000-0001-8525-2415)
- Liangbo Hu
- Jian Yi
Institutions
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Cloud Computing Center (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- China CDC Weekly
- Published
- 2025-01-01
- DOI
- https://doi.org/10.46234/ccdcw2025.059
- Citations
- 1
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 1.35
Funders
- Chongqing Medical University