PREDICTING PRESENCE OF HEART DISEASE IN PATIENTS USING NEURAL NETWORK

Abstract

However, training neural networks require large datasets, otherwise, it cannot give accurate classification. Inspite all the data availability, there are some issues which lack enough data. Medical images, rare animals species to name a few examples with relatively less number of information. In our experiment, we have taken the data from the heart deprtment, which tells the condition of the heart. We will be comparing the cross entropy loss function with out own loss function.