Abstract

Abstract— The most frequent type of disease is heart disease. However, thanks to recent technological advancements,machine learning methodologies have accelerated the health sector through multiple studies. As a result, the goal of thisstudy is to create a machine learning Desktop Application for predicting heart disease based on the input parameters.Kaggle provided us with the dataset that we used in our system. We verify the correctness of these models using MachineLearning Algorithms such as Logistic Regression, Naive Bayes, KNN, SVC, Decision Tree Classifier, and Random ForestClassifier. The Random Forest Classifier improves prediction accuracy while using less time. Medical advocates may findthis model useful. As a result, the primary goal of this study work is to forecast.Keywords— machine learning, random forest, algorithm, prediction, heart disease.