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

Pilot studies (ehealth) (209) Tools, Programs and Algorithms (267) Artificial Intelligence (1387) Evaluation and Research Methodology for mHealth (208) New Methods (948) Machine Learning (1476)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52482, first published .
Efficient Machine Reading Comprehension for Health Care Applications: Algorithm Development and Validation of a Context Extraction Approach

Efficient Machine Reading Comprehension for Health Care Applications: Algorithm Development and Validation of a Context Extraction Approach

Efficient Machine Reading Comprehension for Health Care Applications: Algorithm Development and Validation of a Context Extraction Approach

Authors of this article:

Duy-Anh Nguyen1 Author Orcid Image ;   Minyi Li2 Author Orcid Image ;   Gavin Lambert3, 4 Author Orcid Image ;   Ryszard Kowalczyk5, 6 Author Orcid Image ;   Rachael McDonald3 Author Orcid Image ;   Quoc Bao Vo1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Duy-Anh Nguyen   1 ;   Minyi Li   2 , PhD ;   Gavin Lambert   3, 4 , Prof Dr ;   Ryszard Kowalczyk   5, 6 , Prof Dr ;   Rachael McDonald   3 , Prof Dr ;   Quoc Bao Vo   1 , PhD

1 School of Software and Electrical Engineering, Swinburne University of Technology, Hawthorn, Australia

2 School of Computing Technologies, RMIT, Melbourne, Australia

3 Iverson Health Innovation Research Institutes and School of Health Sciences, Swinburne University of Technology, Hawthorn, Australia

4 Baker Heart & Diabetes Institute, Melbourne, Australia

5 STEM, University of South Australia, Adelaide, Australia

6 Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Corresponding Author:

  • Duy-Anh Nguyen
  • School of Software and Electrical Engineering
  • Swinburne University of Technology
  • John St
  • Hawthorn, 3122
  • Australia
  • Phone: 61 392148444
  • Email: anhngd93@gmail.com