This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1328) Artificial Intelligence (1198) Machine Learning (1385) Secondary Use of Clinical Data for Research and Surveillance (320) Infectious Diseases (non-STD/STI) (1485) Surveillance Systems (428)

Published on in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15394, first published .
Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study

Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study

Applying Machine Learning Models with An Ensemble Approach for Accurate Real-Time Influenza Forecasting in Taiwan: Development and Validation Study

Authors of this article:

Hao-Yuan Cheng1 Author Orcid Image ;   Yu-Chun Wu2 Author Orcid Image ;   Min-Hau Lin1 Author Orcid Image ;   Yu-Lun Liu1 Author Orcid Image ;   Yue-Yang Tsai2 Author Orcid Image ;   Jo-Hua Wu2 Author Orcid Image ;   Ke-Han Pan2 Author Orcid Image ;   Chih-Jung Ke1 Author Orcid Image ;   Chiu-Mei Chen1 Author Orcid Image ;   Ding-Ping Liu1, 3 Author Orcid Image ;   I-Feng Lin4 Author Orcid Image ;   Jen-Hsiang Chuang1, 4 Author Orcid Image
Article Authors Cited by (26) Tweetations (4) Metrics

Journals

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  8. Bhattamisra S, Banerjee P, Gupta P, Mayuren J, Patra S, Candasamy M. Artificial Intelligence in Pharmaceutical and Healthcare Research. Big Data and Cognitive Computing 2023;7(1):10 View
  9. Chong K, Chan P, Lee T, Lau S, Wu P, Lai C, Fung K, Tse C, Leung S, Kwok K, Li C, Jiang X, Wei Y. Determining meteorologically-favorable zones for seasonal influenza activity in Hong Kong. International Journal of Biometeorology 2023;67(4):609 View
  10. Moon J, Jung S, Park S, Hwang E. Machine Learning-Based Two-Stage Data Selection Scheme for Long-Term Influenza Forecasting. Computers, Materials & Continua 2021;68(3):2945 View
  11. Jung S, Moon J, Park S, Hwang E. Self-Attention-Based Deep Learning Network for Regional Influenza Forecasting. IEEE Journal of Biomedical and Health Informatics 2022;26(2):922 View
  12. Moon J, Noh Y, Park S, Hwang E. Model-agnostic meta-learning-based region-adaptive parameter adjustment scheme for influenza forecasting. Journal of King Saud University - Computer and Information Sciences 2023;35(1):175 View
  13. Yang L, Li G, Yang J, Zhang T, Du J, Liu T, Zhang X, Han X, Li W, Ma L, Feng L, Yang W. Deep-Learning Model for Influenza Prediction From Multisource Heterogeneous Data in a Megacity: Model Development and Evaluation. Journal of Medical Internet Research 2023;25:e44238 View
  14. Moon J, Jung S, Park S, Hwang E. RESEAT: Recurrent Self-Attention Network for Multi-Regional Influenza Forecasting. IEEE Journal of Biomedical and Health Informatics 2023;27(5):2585 View
  15. Marquez E, Barrón-Palma E, Rodríguez K, Savage J, Sanchez-Sandoval A. Supervised Machine Learning Methods for Seasonal Influenza Diagnosis. Diagnostics 2023;13(21):3352 View
  16. Park S, Moon J, Jung S, Rho S, Hwang E. Explainable influenza forecasting scheme using DCC-based feature selection. Data & Knowledge Engineering 2024;149:102256 View
  17. Ondrikova N, Clough H, Douglas A, Vivancos R, Itturiza-Gomara M, Cunliffe N, Harris J. Comparison of statistical approaches to predicting norovirus laboratory reports before and during COVID-19: insights to inform public health surveillance. Scientific Reports 2023;13(1) View
  18. Hongliang G, Zhiyao Z, Ahmadianfar I, Escorcia-Gutierrez J, Aljehane N, Li C. Multi-step influenza forecasting through singular value decomposition and kernel ridge regression with MARCOS-guided gradient-based optimization. Computers in Biology and Medicine 2024;169:107888 View
  19. Mellor J, Christie R, Overton C, Paton R, Leslie R, Tang M, Deeny S, Ward T. Forecasting influenza hospital admissions within English sub-regions using hierarchical generalised additive models. Communications Medicine 2023;3(1) View
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Books/Policy Documents

  1. Wei Y, Ou Y, Li J, Wu W. Frontier Computing. View