Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71786, first published .
A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis

A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis

A Deep Learning Framework for Using Search Engine Data to Predict Influenza-Like Illness and Distinguish Epidemic and Nonepidemic Seasons: Multifeature Time Series Analysis

Journals

  1. 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;26(1) View

Conference Proceedings

  1. Miftahul Falah M, Soepriyono G, Esti Handayani E, Dewi Pamungkasari P. 2025 1st International Conference on Emerging Trends in Information Systems and Informatics (ICETISI). An Integrated LSTM-TabNet Ensemble with Elastic Net for Jakarta Composite Index Forecasting View
  2. Chen X, Wang J, Lv Q, Wang H, Liu K, Chen Z. 2025 5th International Conference on High Performance Computing, Big Data and Communication Engineering (ICHBC). Predicting Influenza Trends in Urban Communities Using Heterogeneous Spatio-Temporal Graph Models View