A Comparative Study on Machine Learning and Artificial Neural Networking Algorithms

The diagnosis of heart disease by classical medical approach takes huge amount of time. Besides blood tests and X-ray this approach includes multiple tests like MRI, Echocardiogram and whose results are prone to misdiagnosis. Our proposed model can predict whether a patient with given health parameters and certain test results is affected by a heart disease. The proposed model uses AI approach with several ML algorithms like KNN, SVM, Decision Tree, Random forest classifiers and also with deep neural networks. This prediction is done based on the historical data collected from different medical Institutes in Central Europe.