HealthEdge: A Machine Learning-Based Smart Healthcare Framework for Prediction of Type 2 Diabetes in an Integrated IoT, Edge, and Cloud Computing System

Based on a report by the International Diabetes Federation, in 2021, 537 million adults globally were suffering from diabetes causing 6.7 million deaths [3]. Furthermore, the number of diabetics is projected to reach 643 million by 2030 and 783 million by 2045 [3]. Diabetes in an individual prevails due to a dynamic interaction between different risk factors such as sleep duration, alcohol consumption, dyslipidemia, physical inactivity, serum uric acid, obesity, hypertension, cardiovascular disease, family history of diabetes, ethnicity, depression, age, and gender [4]. If not treated at an early stage, diabetes can lead to severe complications [5]. The use of machine learning has thus gained wide attention for the prediction of diabetes based on risk factors data [6-13] in context of smart healthcare [14,15].