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

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1737) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1737)

Published on in Vol 7, No 5 (2019): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11461, first published .
An App Detecting Dengue Fever in Children: Using Sequencing Symptom Patterns for a Web-Based Assessment

An App Detecting Dengue Fever in Children: Using Sequencing Symptom Patterns for a Web-Based Assessment

An App Detecting Dengue Fever in Children: Using Sequencing Symptom Patterns for a Web-Based Assessment

Authors of this article:

Tsair-Wei Chien1 Author Orcid Image ;   Julie Chi Chow2 Author Orcid Image ;   Willy Chou3, 4 Author Orcid Image
Article Authors Cited by (6) Tweetations (3) Metrics

Journals

  1. Sood S, Sood V, Mahajan I, Sahil . An intelligent healthcare system for predicting and preventing dengue virus infection. Computing 2023;105(3):617 View
  2. Hu T, Chow J, Chien T, Chou W. Detecting dengue fever in children using online Rasch analysis to develop algorithms for parents: An APP development and usability study. Medicine 2023;102(13):e33296 View
  3. R. D, T.S. P. Dual level dengue diagnosis using lightweight multilayer perceptron with XAI in fog computing environment and rule based inference. Scientific Reports 2025;15(1) View

Books/Policy Documents

  1. Condo-Tena A, Hancco-Ramos J, Cabanillas-Carbonell M. Proceedings of Seventh International Congress on Information and Communication Technology. View
  2. Bhattacharya K, Das A, Banerjee D. Mathematics and Computer Science for Real‐World Applications. View
  3. Singh S, Ranjan N, Bansal N. Intelligent Strategies for ICT. View