ECG Based Early Heart Attack Prediction Using Neural Networks

In today’s world, a large amount of data is being collected every minute. This data came from different sources: health care, social media, business applications, manufacturing industries, and many more. The healthcare industry gives a large amount of data. Especially heart disease, which stops the flow of blood from vessels, resulting in chest pain and heart attack. Heart diagnosis at starting stage of the disease can lead to a successful cure of the disease. The classifications that are used to prevent the diagnosis are: - Naive Byes classification, the Support Vector Machine classification, and the k-NN classification. Hence, some deep learning techniques need to be tested on the dataset which has been taken and needs to be tested on it. The primary goal of this paper is to identify novel deep learning accuracy and a better neural network between convolutional neural networks and artificial neural networks..