• Devendra Kumar Mishra Amity Institute of Pharmacy, Amity University Uttar Pradesh Lucknow Campus, India
  • Shubham Shukla School of Biomedical and Pharmaceutical Sciences, Babasaheb Bhimrao Ambedkar University, India
Keywords: Diabetes Mellitus, Hyperglycemia, Machine Learning, Artificial Intelligence, Hypoglycemia.


According to some of the surveys researchers also claimed that at the end of 2040 there will be marked high in the number of patients worldwide at around 600 million. The vast majority of our day by day exercises have gotten computerized. Computerized wellbeing considers the ever-expanding cooperative energy between cutting edge clinical advancements, development, and computerized correspondence. DM is a condition instigated by unregulated diabetes that may prompt multi-organ disappointment in patients. Because of advances in AI and man-made brainpower which empowers the early discovery and analysis of DM through a computerized procedure which is more favorable than a manual finding. Standards of AI have been utilized to assemble calculations to help prescient models for the danger of creating diabetes or its resulting difficulties. Computer-based intelligence will present a change in perspective in diabetes care from ordinary administration systems to building focused on information-driven exactness care. As per the patient's very own need, an appropriate diabetes care plan requires various fields of experts together to make up the arrangement. So, on the off chance that it is done physically, it would limit the experience and information on these experts and devour bunches of costly clinical assets also.


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How to Cite
Mishra, D. K., & Shukla, S. (2020). ROLE OF ARTIFICIAL INTELLIGENCE IN DIABETES MANAGEMENT. International Journal of Engineering Technologies and Management Research, 7(7), 80-88.