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

Machine Learning (1501) Quality/Credibility of eHealth Information and Trust Issues (544) Natural Language Processing (706) Information Retrieval (296)

Published on in Vol 9, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29175, first published .
Predicting Health Material Accessibility: Development of Machine Learning Algorithms

Predicting Health Material Accessibility: Development of Machine Learning Algorithms

Predicting Health Material Accessibility: Development of Machine Learning Algorithms

Authors of this article:

Meng Ji1 Author Orcid Image ;   Yanmeng Liu1 Author Orcid Image ;   Tianyong Hao2 Author Orcid Image
Article Authors Cited by (4) Tweetations (5) Metrics

Meng Ji   1 , PhD ;   Yanmeng Liu   1 , MA ;   Tianyong Hao   2 , PhD

1 School of Languages and Cultures, The University of Sydney, Sydney, Australia

2 School of Computer Science, South China Normal University, Guangdong, China

Corresponding Author:

  • Tianyong Hao, PhD
  • School of Computer Science
  • South China Normal University
  • No.55 West Zhongshan Avenue, Shipai, Tianhe District
  • Guangdong, 510631
  • China
  • Phone: 86 15626239317
  • Email: haoty@m.scnu.edu.cn