Healthcare Monitoring using Machine Learning Based Data Analytics

In this paper, we develop a machine learning based healthcare monitoring and analytics from various Internet of Medical Things (IoMT) devices for possible prediction cardiovascular risk in patients. The study uses random forest feature selection then the fuzzy logic classifier is used Cardio Vascular Disease (CVD). simulation conducted to test efficacy proposed data model over other methods. results show than method has higher rate classification accuracy classifying CVD with recall F1-score