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

Surveillance Systems (430) Infectious Diseases (non-STD/STI) (1490) Innovative Methods in Public Health and Surveillance (307) Natural Language Processing (650) Machine Learning (1401) Artificial Intelligence (1216) Memory (42) Linguistics, Comprehension, and Learning (52)

Published on in Vol 8, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34583, first published .
Linguistic Pattern–Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases–Mail Database: Algorithm Development Study

Linguistic Pattern–Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases–Mail Database: Algorithm Development Study

Linguistic Pattern–Infused Dual-Channel Bidirectional Long Short-term Memory With Attention for Dengue Case Summary Generation From the Program for Monitoring Emerging Diseases–Mail Database: Algorithm Development Study

Authors of this article:

Yung-Chun Chang1, 2 Author Orcid Image ;   Yu-Wen Chiu1, 3 Author Orcid Image ;   Ting-Wu Chuang3 Author Orcid Image
Article Authors Cited by (1) Tweetations (12) Metrics

Journals

  1. Salim M, Satoto T, Danardono D, Daniel D. Digital Health Interventions in Dengue Surveillance to Detect and Predict Outbreak: A Scoping Review. The Open Public Health Journal 2024;17(1) View