Mobile Cloud Healthcare Systems using Fuzzy Rules based Neural Networks Classification

Abstract

Computer systems have many advantages over traditional emergency systems, such as the ability to quickly respond to changing circumstances and the reliability of never going down if a server experiences technical Difficulties, This article will introduce the Mobile cloud computing for emergency health care model (MCCEH) with use of a cloud computing server, with the goal of reducing reaction time to save a patient's life by offering services connected to healthcare in emergency instances. When a health emergency arises or a car accident takes place, The MCCEH model will let look up the closest medical facility in their area who specializes in a certain area, and the search results will include the specialists' schedules and whether or not they are available right now. People can then make decisions about which specialist or hospital to visit based on the information they find there, as well as check reviews and ratings. Using an Internet of Things (IoT)-based body sensor database & medical sensors, a novel systematic technique is applied for the diabetic illness and the associated medical data obtained in this study. In addition, a novel classification technique, Fuzzy Rule oriented Neural Classifier, for making accurate diagnoses of diseases and their severity.