Review On Machine Learning and Deep Learning-based Heart Disease Classification and Prediction
The Open Biomedical Engineering Journal
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17 Feb 2023 •
REVIEW ARTICLE
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DOI: 10.2174/18741207-v17-e230110-2022-HT27-3589-17
Abstract
Coronary Heart disease is the major factor for people’s deaths throughout the world, and it is necessary to detect and predict the disease in the earlier stages because time plays a vital role to save the coronary patient. From this paper, the authors can conclude that authors have used most of the machine learning and deep learning ensemble algorithms so that they can predict heart disease at the early stage so that the patient’s life can be saved.
Keywords: Echocardiogram, Left ventricular ejection fraction, Cardiomyopathy classification, Low ejection, Ensembled algorithm, Transfer learning, Convolution neural network (CNN), Multilayer perceptron (MLP).
