Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/74423, first published .
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

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

Journals

  1. Zhao Z, Dong H, Zhu H. Toward better outcomes in pediatric septic shock: the role of practical risk models. Pediatric Nephrology 2025;40(11):3593 View
  2. Park S, Lee K. Predicting brand share after LOE in chronic disease market using machine learning. The European Journal of Health Economics 2025 View
  3. Chen P, Gu H, Lo H, Chang W, Lai C, Lai S, Cheng A, Ng P. Leveraging Large Language Models for Early Detection of Anomaly Work Injury Cases: A Data-Driven Approach to Rehabilitation Efficiency (Preprint). JMIR Rehabilitation and Assistive Technologies 2025 View
  4. Wang Y, Zhai S, Wu C, Chen B, Zhang W, Li J, Cheng X, Xiao L. Dynamic ensemble deep learning with multi-source data for robust influenza forecasting in Yangzhou. BMC Public Health 2025 View