Automatic user sentiments extraction from diabetes mobile apps – An evaluation of reviews with machine learning
Author:
Affiliation:
1. Department of Health Science and Biostatistics, Swinburne University of Technology; Swinburne University, Melbourne, Australia
Funder
autho
Publisher
Informa UK Limited
Subject
Health Information Management,Nursing (miscellaneous),Health Informatics
Link
https://www.tandfonline.com/doi/pdf/10.1080/17538157.2022.2097083
Reference41 articles.
1. Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: Results from the International Diabetes Federation Diabetes Atlas, 9th edition
2. The development of My Care Hub Mobile-Phone App to Support Self-Management in Australians with Type 1 or Type 2 Diabetes
3. Use, Perspectives, and Attitudes Regarding Diabetes Management Mobile Apps Among Diabetes Patients and Diabetologists in China: National Web-Based Survey
4. Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review
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