A Role of Artificial Intelligence in Healthcare Data for Diabetic People Affected by COVID-19
| Autor: | null Kiran Kumar K., Vijaya Kumar Gudivada, null Panneer Selvam M., Bayavanda Chinnappa Thimmaiah, Kotaiah Bonthu, R. N. Thakur |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | International Journal of Operations Research and Information Systems. 13:1-13 |
| ISSN: | 1947-9336 1947-9328 |
| DOI: | 10.4018/ijoris.306196 |
| Popis: | Artificial intelligence (AI) enables the diabetic patient's symptoms and biomarkers to be monitored. People with diabetes are weak, and if a COVID-19 infection is present, the patient must be managed optimally, with a focus on fighting the virus while simultaneously maintaining homeostasis and glycemic control. This study examines the present state of knowledge and limitations in using AI to prevent and manage individuals with diabetes and COVID-19 infection. Furthermore, patient engagement in diabetes care is improved by media and online. These innovative technological advancements have improved glycemic management by lowering fasting and by tracking postprandial glucose levels and glycosylated haemoglobin. In this pandemic period, glycemic management and the implementation of suitable interventions are crucial considerations for diabetic patients, particularly those with an active illness. More research is needed in the future to provide care for diabetic patients' psychological and nutritional well-being as well as to reduce their healthcare costs by building focused AI systems. |
| Databáze: | OpenAIRE |
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