A Comprehensive Survey on Heart Disease Prediction

Author(s)	Varsha Singh, Ankit Arora
Country	India
Abstract	Heart disease, stroke, and other vascular illnesses will kill one-third of humanity, according to the World Health Organization. Reducing mortality rates and providing the best clinical decision support for cardiac patients necessitates the use of an appropriate machine learning model to target early detection and accurate heart disease prediction. In this study, the Cleveland and Z-Alizadeh Sani datasets are used to examine the efficacy of several heart disease prediction algorithms.
Keywords	Coronary Heart Disease, Heart Disease Prediction, Clinical Decision Support
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 4, Issue 5, September-October 2022
Published On	2022-09-14
Cite This	A Comprehensive Survey on Heart Disease Prediction - Varsha Singh, Ankit Arora - IJFMR Volume 4, Issue 5, September-October 2022. DOI 10.36948/ijfmr.2022.v04i05.034
DOI	https://doi.org/10.36948/ijfmr.2022.v04i05.034
Short DOI	https://doi.org/10/gqt6wt

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International Journal For Multidisciplinary Research