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

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