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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1041) Infodemiology and Infoveillance (1349) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Infectious Diseases (non-STD/STI) (1575) Influenza and Influenza-Like-Illness (ILI) Surveillance (217)

Published on in Vol 4, No 3 (2018): Jul-Sept

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8627, first published .
Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

Twitter-Based Influenza Detection After Flu Peak via Tweets With Indirect Information: Text Mining Study

Authors of this article:

Shoko Wakamiya1 Author Orcid Image ;   Yukiko Kawai2, 3 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by (51) Tweetations (10) Metrics

Journals

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  14. Rodríguez-González A, Tuñas J, Prieto Santamaría L, Fernández Peces-Barba D, Menasalvas Ruiz E, Jaramillo A, Cotarelo M, Conejo Fernández A, Arce A, Gil A. Identifying Polarity in Tweets from an Imbalanced Dataset about Diseases and Vaccines Using a Meta-Model Based on Machine Learning Techniques. Applied Sciences 2020;10(24):9019 View
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  22. Kellert O, Matlis N, Blythe R. Geolocation of multiple sociolinguistic markers in Buenos Aires. PLOS ONE 2022;17(9):e0274114 View
  23. Ferawati K, Liew K, Aramaki E, Wakamiya S. Monitoring Mentions of COVID-19 Vaccine Side Effects on Japanese and Indonesian Twitter: Infodemiological Study. JMIR Infodemiology 2022;2(2):e39504 View
  24. Abu Lekham L, Wang Y, Hey E, Khasawneh M. Multi-label text mining to identify reasons for appointments to drive population health analytics at a primary care setting. Neural Computing and Applications 2022;34(17):14971 View
  25. Siriaraya P, Zhang Y, Kawai Y, Jeszenszky P, Jatowt A, Zhao J. A city-wide examination of fine-grained human emotions through social media analysis. PLOS ONE 2023;18(2):e0279749 View
  26. Kim M, Jang J, Jeon S, Youm S. A Study on Customized Prediction of Daily Illness Risk Using Medical and Meteorological Data. Applied Sciences 2022;12(12):6060 View
  27. Wakamiya S, Morimoto O, Omichi K, Hara H, Kawase I, Koshiba R, Aramaki E. Exploring Relationships Between Tweet Numbers and Over-the-counter Drug Sales for Allergic Rhinitis: Retrospective Analysis. JMIR Formative Research 2022;6(2):e33941 View
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  30. Albali N, Almudarra S, Al-Farsi Y, Alarifi A, Al Wahaibi A, Penttinen P. Comparative Performance Evaluation of the Public Health Surveillance Systems in 6 Gulf Cooperation Countries: Cross-sectional Study. JMIR Formative Research 2023;7:e41269 View
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Books/Policy Documents

  1. Suprem A, Musaev A, Pu C. Services – SERVICES 2019. View
  2. Amrani G, Khennou F, Chaoui N. Information and Software Technologies. View
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  4. Gilbert J, Niu J, de Montigny S, Ng V, Rees E. AI for Disease Surveillance and Pandemic Intelligence. View