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

Clinical Information and Decision Making (1407) Artificial Intelligence (1371) Machine Learning (1465) Secondary Use of Clinical Data for Research and Surveillance (367) Infectious Diseases (non-STD/STI) (1575) Surveillance Systems (462)

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 (31) Tweetations (4) Metrics

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