Diseases Identification Method Using Machine Learning Classification in E-Healthcare

Abstract

Heart infection and diabetes may be the main cause of death on the planet today. The prognosis of COVID-19 is the main test for studying clinical information. Options and forecasts based on the vast amount of information provided by the healthcare industry. We also see AA continuous improvement practices used in various Internet of Things (IoT). The different tests only outline the COVID-19 prediction using machine learning strategies to obtain higher accuracy, 4 algorithms are analysed, namely Support Vector Machine (SVM), Decision Tree (DT), Nearest Neighbour Algorithm (KNN), and Random Forest classifier. Discussed and compared the performance and accuracy of the algorithms used. A comparison of the various machine learning methods used in this research shows which algorithm best predicts COVID-19.