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

Machine Learning (960) Infodemiology and Infoveillance (970) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (788) Infectious Diseases (non-STD/STI) (1201) Influenza and Influenza-Like-Illness (ILI) Surveillance (82) Statistical Methods for Surveillance and Population Health (110) Innovative Methods in Public Health and Surveillance (227) Surveillance Systems (345) Natural Language Processing (472)

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 Jang 1 Author Orcid Image ;   Inhwan Kim 1 Author Orcid Image ;   Jong Wook Kim 2 Author Orcid Image
Article Authors Cited by Tweetations (3) Metrics
Beakcheol Jang 1 , PhD ;   Inhwan Kim 1 , BSc ;   Jong Wook Kim 2 , PhD

1 Graduate School of Information , Yonsei University , Seoul , KR

2 Department of Computer Science , Sangmyung Univerisity , Seoul , KR

Corresponding Author:

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