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Predicting the Linguistic Accessibility of Chinese Health Translations: Machine Learning Algorithm Development.

Christine JiPierrette Bouillon
Published in: JMIR medical informatics (2021)
The development of machine learning algorithms significantly improved the accuracy and reliability of current approaches to the evaluation of the linguistic accessibility of Chinese health information, especially Chinese health translations in relation to original health resources. Although the new algorithms developed were based on Chinese health resources, they can be adapted for other languages to advance current research in accessible health translation, communication, and promotion.
Keyphrases
  • health information
  • machine learning
  • public health
  • healthcare
  • mental health
  • social media
  • deep learning
  • health promotion
  • risk assessment