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

Machine Learning (1984) Infodemiology and Infoveillance (1525) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1120) Infectious Diseases (non-STD/STI) (1705) Influenza and Influenza-Like-Illness (ILI) Surveillance (235) Statistical Methods for Surveillance and Population Health (183) Innovative Methods in Public Health and Surveillance (371) Surveillance Systems (507) Natural Language Processing (873)

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 (9) Tweetations (2) Metrics

Journals

  1. Darwish O, Tashtoush Y, Bashayreh A, Alomar A, Alkhaza’leh S, Darweesh D. A survey of uncover misleading and cyberbullying on social media for public health. Cluster Computing 2023;26(3):1709 View
  2. 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
  3. Xue H, Zhang L, Liang H, Kuang L, Han H, Yang X, Guo L. Influenza trend prediction method combining Baidu index and support vector regression based on an improved particle swarm optimization algorithm. AIMS Mathematics 2023;8(11):25528 View
  4. Chen X, Wang L, You M, Liu W, Fu Y, Xu J, Zhang S, Chen G, Li K, Li J. Evaluating and Enhancing Large Language Models’ Performance in Domain-Specific Medicine: Development and Usability Study With DocOA. Journal of Medical Internet Research 2024;26:e58158 View
  5. Gautam A, Raza Z. Disease outbreak prediction using natural language processing: a review. Knowledge and Information Systems 2024;66(11):6561 View
  6. Nag S, Basu N, Bose P, Bandyopadhyay S. A Novel Grammar-Based Approach for Patients’ Symptom and Disease Diagnosis Information Dissemination to Maintain Confidentiality and Information Integrity. Bioengineering 2024;11(12):1265 View

Conference Proceedings

  1. Khotimah P, Latifah A, Syafarina I, Shabrina A, Nugraheni E, Rozie A. Proceedings of the 2021 International Conference on Computer, Control, Informatics and Its Applications. COVID-19 vs media: Time series data analysis towards media and COVID-19 epidemic data View
  2. Kumar G, Rasane A, Gupta S, Barker D, Kulakarni A, Khot R, Gavade P, Hubballi R. 2024 OPJU International Technology Conference (OTCON) on Smart Computing for Innovation and Advancement in Industry 4.0. Flu Shot Learning: Overview of H1N1 and Seasonal Flu Vaccines View
  3. Gautam A, Raza Z. 2024 International Conference on Computational Intelligence and Network Systems (CINS). Autoencoder and Multi-Head Attention with GRU based Approach to Predict Disease Outbreak using News-Crawl 2019 Data View