HEART DISEASE PREDICTION USING IMAGE PROCESSING AND MACHINE LEARNING

Abstract

Heart Attack is a term that assigns a large number of medical conditions related to heart. The key to Heart (Cardiovascular) diseases to evaluate large scores of data sets, compare information that can be used to predict, Prevent, Manage such as Heart attacks. The main objective of this research is to develop an Intelligent System using machine learning technique, namely, Naive Bayes, KNN, Random forest Decision tree. It is implemented as web based application in this user answers the predefined questions. Data analytics is used to incorporate world for its valuable use to controlling, contravasting and Manage a large data sets. It can be applied with a much success to predict, prevent, Managing a Cardiovascular Diseases. To solve this we aims to implement the Data Analytics based on SVM and Genetic Algorithm to diagnosis of heart diseases. This result reveal, which Algorithm is best, optimized Prediction Models. It can answer complex queries for diagnosing heart disease and thus assist healthcare practitioners to make intelligent clinical decisions, which traditional decision support systems cannot. By providing effective treatments, it also helps to reduce treatment costs.