A hybrid approach to medical decision-making diagnosis of heart disease using machine-learning model

Heart disease is one of the most widely spreading diseases across the world. In this study, we have proposed a hybrid heart disease detection model based on random forest and support vector machine. We have employed random forest model for iterative feature selection and support vector machine to implement the predictive model. We have validated the model and result appears to prove that the performance of the hybrid model is better as compared...