Predicting Writing Styles of Online Materials for Children’s Health Education Using Machine-Learning Assisted Selection of Semantic Features (Preprint)-Reference-Cited by-同舟云学术

Predicting Writing Styles of Online Materials for Children’s Health Education Using Machine-Learning Assisted Selection of Semantic Features (Preprint)

Published:2021-05-01 Issue: Volume: Page:
ISSN:2291-9694
Container-title:JMIR Medical Informatics
language:en
Short-container-title:

Author:

Xie Wenxiu^ORCID,Ji Meng^ORCID,Liu Yanmeng^ORCID,Hao Tianyong^ORCID,Chow Chi-Yin^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Information Management,Health Informatics

Reference38 articles.

1. “It’s Got to Be on This Page”: Age and Cognitive Style in a Study of Online Health Information Seeking

2. Social Network Analysis of Elders' Health Literacy and their Use of Online Health Information

3. Evaluation of Nutrition and Physical Activity Knowledge, Attitudes, Self Efficacy and Behaviors in Teachers and Children after Implementation of the “Healthy Active Kids” Online Program in Australian Elementary Schools

4. Online mental health resources for teenagers: an evaluation of two websites developed for adolescents

5. Parental education and children's online health information seeking: Beyond the digital divide debate

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