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Predicting Risks of Machine Translations of Public Health Resources by Developing Interpretable Machine Learning

Wenxiu Xie1, Meng Ji2, Riliu Huang2

  • 1Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong 518057, China.

International Journal of Environmental Research and Public Health
|August 27, 2021
PubMed

Keywords:
digital vulnerabilitymachine learningmultinominal naïve bayes classifierpublic health education and promotion

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