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How recommender systems could support and enhance computer-tailored digital health programs: A scoping review.

Kei-Long CheungDilara DurusuXincheng SuiHein de Vries
Published in: Digital health (2019)
Incorporating a collaborative method with demographic filtering as a second step to knowledge-based filtering could potentially add value to traditional tailoring with regard to enhancing the user experience. This study illustrates how recommender systems, especially hybrid programs, may have the potential to bring tailored digital health forward.
Keyphrases
  • public health
  • healthcare
  • mental health
  • health information
  • human health
  • smoking cessation
  • health promotion
  • deep learning
  • risk assessment