ARTIFICIAL INTELLIGENCE: THE FUTURE FOR DIABETES CARE

Authors

  • Shakhozdbek Najmitdiddinov Tashkent University of Information Technologies named after Muhammad al-Kharezmy Author

Keywords:

Artificial intelligence (AI); Diabetes; Machine learning; Management; Prediction

Abstract

Artificial intelligence (AI) is a fast-growing field and its applications to diabetes, a global pandemic, can reform the approach to diagnosis and management of this chronic condition. Principles of machine learning have been used to build algorithms to support predictive models for the risk of developing diabetes or its consequent complications. Digital therapeutics have proven to be an established intervention for lifestyle therapy in the management of diabetes. Patients are increasingly being empowered for self-management of diabetes, and both patients and health care professionals are benefitting from clinical decision support.

References

International Diabetes Federation (IDF). IDF diabetes atlas. 9th ed Brussels, Belgium: International Diabetes Federation; 2019. Available at: http://www.diabetesatlas.org [Accessed on December 27, 2019.

Cho NH, Shaw JE, Karuranga S, et al. IDF diabetes atlas: global estimates of diabetes prevalence for 2017 and projections for 2045. Diabetes Res Clin Pract 2018;138:271–81. https://doi.org/10.1016/j. diabres.2018.02.023.

Published

2023-07-11

How to Cite

ARTIFICIAL INTELLIGENCE: THE FUTURE FOR DIABETES CARE . (2023). Science and Innovation, 1(17), 67-69. https://in-academy.uz/index.php/SI/article/view/30699