Cardiovascular (Heart) Diseases Prediction using Deep Learning Neural Network Model

Abstract

Deep learning plays an important role in the field of medical science in solving health issues and diagnosing various diseases. So in this paper, we will discuss cardiovascular disease. We proposed a model for cardiovascular disease prediction. Cardiovascular disease is a key area where a deep neural network can be used, so we can improve the overall quality of the classification of cardiovascular disease. The classification can be performed in various ways, like KNN, SVM, Naïve Bayes, and Random Forest. The Cardiovascular Disease UCI dataset was  used to demonstrate that Talos hyper-parameter optimization is more efficient than others.