REVIEW ARTICLE
Review On Machine Learning and Deep Learning-based Heart Disease Classification and Prediction
S. Deepika1, N. Jaisankar2, *
Article Information
Identifiers and Pagination:
Year: 2023Volume: 17
E-location ID: e187412072301060
Publisher ID: e187412072301060
DOI: 10.2174/18741207-v17-e230110-2022-HT27-3589-17
Article History:
Received Date: 31/7/2022Revision Received Date: 22/11/2022
Acceptance Date: 21/12/2022
Electronic publication date: 17/02/2023
Collection year: 2023
open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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.