An Intelligent Framework for Diabetic Patient Monitoring System Employing Machine Learning (Ml) Techniques - A Complete Strategy

Abstract

The quality of life for people with diabetes can be remarkably considered to improve continuous monitoring which can save human and other healthcare expenditures further deal with health-related issues. This is possible by combining a number of technologies including distinct domain like Internet of Things (IoT), Sensor Networks, contemporary cloud computing and Artificial Intelligence (AI). Simultaneously, proposed research is focuses on advancement framework for intelligent healthcare system which is especially suited for smart e-health applications to address the existing obstacles. The availability of several communication channels has made remote that are responsible for healthcare treatmentat higher potential range. Further proposed research highlights an inherent support of machine learning (ML)enabled tracking system is mainly designed for diabetic patients.On the other side, smart phone’s, sensors and various smart gadgets can measure physical characteristics that are suited elements of simulation design. The gathered data is further tested forpre-processing and normalization processes in order to reduce duplication. Moreover construction of advanced automation system with IoT framework for healthcare monitoring system smoothly integrates with ML techniques. Finally simulation result proven that technology utilization ensures remedial diagnosis through real-time monitoring, endless connectivity and decision-making.