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Role of machine learning algorithms over heart diseases prediction

Siva Kumar Jonnavithula, Abhilash Kumar Jha, M. Kavitha, Singaraju Srinivasulu

2020AIP conference proceedings30 citationsDOI

Abstract

Circulation of blood in human body is essential for life. So, it won't be wrong to say the most important part of or body is heart since it pumps (or circulates) the blood to each part of body. Getting diseases related to heart is directly meaning to getting disease related to our most important part of the body. According to WHO every year 17 million of people dies by heart diseases, it means more than one third death of all death is being caused by the heart diseases. In modern days, Machine learning algorithms are being the solution for different medical fields, for this case also we can use machine learning algorithms to predict the heart diseases. Here we are going to compare the accuracy of different machine learning technique over “heart.csv” dataset and conclude which algorithm gives the best result.

Topics & Concepts

Computer scienceMachine learningHeart diseaseAlgorithmArtificial intelligenceMedicineCardiologyArtificial Intelligence in HealthcareSmart Systems and Machine LearningInternet of Things and AI
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