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

Machine Learning (1400) Infodemiology and Infoveillance (1278) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Infectious Diseases (non-STD/STI) (1490) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Statistical Methods for Surveillance and Population Health (148) Innovative Methods in Public Health and Surveillance (307) Surveillance Systems (430) Natural Language Processing (650)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/23305, first published .
Effective Training Data Extraction Method to Improve Influenza Outbreak Prediction from Online News Articles: Deep Learning Model Study

Effective Training Data Extraction Method to Improve Influenza Outbreak Prediction from Online News Articles: Deep Learning Model Study

Effective Training Data Extraction Method to Improve Influenza Outbreak Prediction from Online News Articles: Deep Learning Model Study

Authors of this article:

Beakcheol Jang1 Author Orcid Image ;   Inhwan Kim1 Author Orcid Image ;   Jong Wook Kim2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

Beakcheol Jang   1 , PhD ;   Inhwan Kim   1 , BSc ;   Jong Wook Kim   2 , PhD

1 Graduate School of Information, Yonsei University, Seoul, Republic of Korea

2 Department of Computer Science, Sangmyung Univerisity, Seoul, Republic of Korea

Corresponding Author:

  • Jong Wook Kim, PhD
  • Department of Computer Science
  • Sangmyung Univerisity
  • 20, Hongjimun 2-gil, Jongno-gu
  • Seoul, 03016
  • Republic of Korea
  • Phone: 82 027817590
  • Fax: 82 0222870072
  • Email: jkim@smu.ac.kr