Leveraging Machine Learning Models for Trustworthy Prediction of Diabetes
Author:
Affiliation:
1. National Institute of Technology Puducherry, Karaikal, India
2. National Institute of Technology Puducherry, , India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3589335.3665841
Reference14 articles.
1. Sun H. Saeedi P. Karuranga S. Pinkepank M. Ogurtsova K. Duncan B.B. Stein C. Basit A. Chan J.C. Mbanya J.C. and Pavkov M.E. 2022. IDF Diabetes Atlas: Global regional and country-level diabetes prevalence estimates for 2021 and projections for 2045. Diabetes research and clinical practice 183 p.109119. https://doi.org/10.1016/j.diabres.2021.109119
2. The effect of diabetes knowledge and attitudes on self-management and quality of life among people with type 2 diabetes
3. Triantafyllidis A. Kondylakis H. Votis K. Tzovaras D. Maglaveras N. and Rahimi K. 2019. Features outcomes and challenges in mobile health interventions for patients living with chronic diseases: A review of systematic reviews. International journal of medical informatics 132 p.103984. https://doi.org/10.1016/j.ijmedinf.2019.103984
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