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

Journals

  1. Wang Y, Ma N, Guo Z. Machine Reading Comprehension Model Based on Fusion of Mixed Attention. Applied Sciences 2024;14(17):7794 View