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Using Natural Language Processing to Measure and Improve Quality of Diabetes Care: A Systematic Review.

Alexander TurchinLuisa F Florez Builes
Published in: Journal of diabetes science and technology (2021)
Research in NLP technology to study diabetes is growing quickly, although challenges (e.g. in analysis of more linguistically complex concepts) remain. Its potential to deliver evidence on treatment and improving quality of diabetes care is demonstrated by a number of studies. Further growth in this area would be aided by deeper collaboration between developers and end-users of natural language processing tools as well as by broader sharing of the tools themselves and related resources.
Keyphrases
  • autism spectrum disorder
  • type diabetes
  • cardiovascular disease
  • quality improvement
  • social media
  • health information
  • glycemic control
  • adipose tissue
  • skeletal muscle
  • replacement therapy