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

Wenxiu XieChristine JiTianyong HaoChi-Yin Chow
Published in: JMIR medical informatics (2021)
The new logistic regression model developed exhibited consistency, scalability, and, more importantly, interpretability based on existing health and linguistic research. It was found that low and high linguistic accessibilities of online health materials were explained by 2 sets of distinct semantic features. This revealed the inherent complexity of effective health communication beyond current readability analyses, which were limited to syntactic complexity and lexical difficulty.
Keyphrases
  • health information
  • machine learning
  • healthcare
  • public health
  • mental health
  • deep learning
  • artificial intelligence
  • climate change