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ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis

ChatGPT-Assisted Deep Learning Models for Influenza-Like Illness Prediction in Mainland China: Time Series Analysis

The time series shows typical winter peaks and summer troughs; the seasonality aligns with previous studies by Ye et al [26], Chen et al [27], and Liu et al [28], who documented similar patterns in China populations. This seasonal variation is closely related to many factors and provides key information for the construction and prediction of subsequent models. It emphasizes the importance of choosing appropriate modeling methods that can adapt to observed changes.

Weihong Huang, Wudi Wei, Xiaotao He, Baili Zhan, Xiaoting Xie, Meng Zhang, Shiyi Lai, Zongxiang Yuan, Jingzhen Lai, Rongfeng Chen, Junjun Jiang, Li Ye, Hao Liang

J Med Internet Res 2025;27:e74423