• harshita Rathi
• Dr. Ashok kumar Behera

- Around 470 million people in the globe have diabetes, a chronic metabolic condition. Digital health has been developed with the goal of bettering the care of diabetic patients. Recent years' broad usage has produced a lot of data that may be utilised to inform next initiatives to end this chronic illness. Deep learning, a relatively new kind of machine learning with intriguing prospective applications, is one approach that has benefited from this transition. In this study, we assess the status of deep learning applications currently used in the study of diabetes. The phases of diabetes treatment that this approach is most often employed in include diagnosis, glucose control, and complication identification, according to a study of the literature. We have emphasised the most important information from the 40 original research publications we selected based on our search about the learning models used, the development process, the major results, and the baseline methodologies for performance measurement. According to the reviewed literature, it is now feasible to accomplish numerous tasks related to diabetes with state-of-the-art accuracy by using deep learning frameworks and algorithms, which perform better than more conventional machine learning approaches. In the meanwhile, we draw attention to a number of gaps in the existing research, such as a dearth of readily available data and uncertainty in model interpretation. Rapid advancements in deep learning and an abundance of data suggest that these issues may soon be resolved, enabling further use of this technology in therapeutic settings.

- Diabetes, deep learning, deep neural networks, glucose management, diabetic complications, artificial intelligence

"Systematically Investigating the Role of Deep Learning in Diabetes", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.f578-f597, September-2023, Available :http://www.jetir.org/papers/JETIR2309571.pdf

"Systematically Investigating the Role of Deep Learning in Diabetes", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppf578-f597, September-2023, Available at : http://www.jetir.org/papers/JETIR2309571.pdf