Abstract: Diabetes is a chronic health disorder due to the failure of the pancreas to give the necessary level of insulin or to protect the body that isn't consumable. Diabetic patient health observation is a systematic strategy that furnishes us with detailed health data about diabetic patients. Diabetic patient health observation systems play a critical part in observing the patient's health condition, particularly with the utilization of Internet of Things (IoT) connected devices. Diabetic patient observation frameworks are capable essentially to screen diabetic patients and saving certain health information about blood glucose level, blood pressure, and body temperature. Prescient analysis for diabetic patients is needed because of its capability to help diabetic patients, their families, health specialists, and clinical analysts to pursue decisions on diabetic patient treatment in view of the patient's health condition. This paper depicts a new framework for observing diabetic patients' health and examines prescient investigation utilizing Artificial Intelligence algorithms.
Keywords: Diabetes, Internet of Things (IoT), Remote Health Monitoring, and Artificial Intelligence (AI)
|
DOI:
10.17148/IJARCCE.2022.11701
