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

Machine Learning (1501) Quality/Credibility of eHealth Information and Trust Issues (544) Information Retrieval (296) Learning and Education (77) Design and Evaluation of Medical Education Materials (32) Evaluation of Medical Education (81) Linguistics, Comprehension, and Learning (53)

Published on in Vol 9, No 10 (2021): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25110, first published .
Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study

Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study

Predicting the Easiness and Complexity of English Health Materials for International Tertiary Students With Linguistically Enhanced Machine Learning Algorithms: Development and Validation Study

Authors of this article:

Wenxiu Xie1 Author Orcid Image ;   Christine Ji2 Author Orcid Image ;   Tianyong Hao3 Author Orcid Image ;   Chi-Yin Chow1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Wenxiu Xie   1 , MSc ;   Christine Ji   2 , PhD ;   Tianyong Hao   3 , PhD ;   Chi-Yin Chow   1 , PhD

1 Department of Computer Science, City University of Hong Kong, Hong Kong, China (Hong Kong)

2 School of Languages and Cultures, University of Sydney, Sydney, Australia

3 School of Computer Science, South China Normal University, Guangzhou, China

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