Cardiologia Clínica e Experimental
Acesso livre

Abstrato

Noninvasive method for Heart Disease prediction using Machine Learning algorithms for Photoplethysmograph signals

Tripti R Kulkarni, Dushyanth N D

Heart is a very crucial body organ that maintains and conjugates the blood in our body. In a report from WHO, one of the most significant causes of mortality today is Heart disease. Symptoms of a Heart disease include abnormal heartbeat, shortness of breath, pain in the chest, back or neck, fatigue and anxiety. If diagnosed well in advance, a lot of lives can be saved. In the proposed model we try to predict Heart Diseases in a patient using Machine Learning (ML). Various ML algorithms such as support vector classifiers, KNN, decision tree are being employed. Different ML Algorithms are used and accuracy is compared among them