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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 core computational mechanism of our LSTM implementation can be expressed as: Forget gate: Input gate: Candidate cell state: Cell state upstate: Output gate: Hidden state: In these equations, σ denotes the sigmoid activation function, tan h represents the hyperbolic tangent function, and indicates element-wise multiplication.

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