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

Theme Issue 2021: Health Natural Language Processing and Applications (16) Machine Learning (1400) Consumer & Patient Education and Shared-Decision Making (641) Artificial Intelligence (1214)

Published on in Vol 9, No 5 (2021): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28413, first published .
Use of Machine Learning Algorithms to Predict the Understandability of Health Education Materials: Development and Evaluation Study

Use of Machine Learning Algorithms to Predict the Understandability of Health Education Materials: Development and Evaluation Study

Use of Machine Learning Algorithms to Predict the Understandability of Health Education Materials: Development and Evaluation Study

Authors of this article:

Meng Ji1 Author Orcid Image ;   Yanmeng Liu1 Author Orcid Image ;   Mengdan Zhao1 Author Orcid Image ;   Ziqing Lyu1, 2 Author Orcid Image ;   Boren Zhang1 Author Orcid Image ;   Xin Luo3, 4 Author Orcid Image ;   Yanlin Li3, 4 Author Orcid Image ;   Yin Zhong5, 6 Author Orcid Image
Article Authors Cited by (5) Tweetations (1) Metrics

Meng Ji   1 , PhD ;   Yanmeng Liu   1 , MA ;   Mengdan Zhao   1 , MA ;   Ziqing Lyu   1, 2 , MA ;   Boren Zhang   1 , MA ;   Xin Luo   3, 4 , MA ;   Yanlin Li   3, 4 , MEd ;   Yin Zhong   5, 6 , PhD

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

2 School of Foreign Languages, Jiangsu University of Science and Technology, Zhenjiang, China

3 Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

4 The HK PolyU-PKU Research Centre on Chinese Linguistics, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

5 Department of English, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

6 Research Centre for Professional Communication in English, The Hong Kong Polytechnic University, Hong Kong, China (Hong Kong)

Corresponding Author: