Identification and Characterization of Effects on Levels of COVID-19 and Diabetes Types using Machine Learning Approaches


Authors : Vadthe Narasimha; Dr. M. Dhanalakshmi

Volume/Issue : Volume 7 - 2022, Issue 8 - August

Google Scholar : https://bit.ly/3IIfn9N

Scribd : https://bit.ly/3PVHRQP

DOI : https://doi.org/10.5281/zenodo.7028703

Patients who have diabetes have long been around in the spotlight in the early phases of this outbreak, since expanding epidemiological statistics have shown that they're in a higher chance of acute clinical consequences of COVID-19. Whilst the worldwide pandemic proceeds to venerable, additionally, it has been evident that the interplay involving COVID-19 and Diabetes Mellitus (DM) involves intricate path physiology. Maybe not just are your COVID-19 effects more acute with DM and Metabolic Dysfunction (MD), but recent statistics additionally indicate that COVID-19 could precipitate severe metabolic complications of diabetes, like diabetic ketoacidosis and hyperglycemia. Knowing the bi-directional connections between diabetes and COVID-19 is likely to soon undoubtedly probably likely be vital to assist protect and handling folks who have diabetes or are at elevated risk of metabolic disorder. As amounts of diabetes along with also different non-communicable illnesses (NCDs) are still growing global, today greater than NCD control and prevention have to be important. In addition, it has been shown that SARS-CoV-2 vulnerability could decode type1 DM started. Significantly, the research also demonstrates the possibility of COVID-19-related mortality is independently and significantly associated with hyperglycemia in people with a type of diabetes. Comorbidity severe in-hospital deaths with COVID-19

Keywords : Diabetes, COVID-19, Lungs, Deep Learning, Machine Leering. Type, Type1 and Type2 Diabetes.

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