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Heart Disease Prediction using CNN, Deep Learning Model

Nilam Harkulkar

2020International Journal for Research in Applied Science and Engineering Technology21 citationsDOIOpen Access PDF

Abstract

Heart disease is one of the most serious health threat growing among worldwide, for which mortality rate around the world is very high. Early detection of heart disease could save many lives, accurate detection of heart disease is crucial among the health care persons through regular clinical data and its analysis. Artificial intelligence is the effective solution for decision making and accurate heart disease predictions. Medical industry showing enormous development in using information technology, in which artificial intelligence play major role. In the proposed work, deep learning based approach on heart disease is done on Cleveland dataset. However existing studies are handled in Machine learning technique. The proposed work detects heart disease based in Convolutional Neural Networks. Experimental results shows our proposed work achieves high level of accuracy in prediction of heart disease.

Topics & Concepts

Computer scienceArtificial intelligenceDeep learningDiseaseMedicineInternal medicineArtificial Intelligence in Healthcare