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

BACKGROUND: Improving the understandability of health information can significantly increase the cost-effectiveness and efficiency of health education programs for vulnerable populations. There is a pressing need to develop clinically informed computerized tools to enable rapid, reliable assessment...

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Detalles Bibliográficos
Autores principales: Ji, Meng, Liu, Yanmeng, Zhao, Mengdan, Lyu, Ziqing, Zhang, Boren, Luo, Xin, Li, Yanlin, Zhong, Yin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138706/
https://www.ncbi.nlm.nih.gov/pubmed/33955834
http://dx.doi.org/10.2196/28413

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8138706/
https://www.ncbi.nlm.nih.gov/pubmed/33955834
http://dx.doi.org/10.2196/28413

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