Research
A Comprehensive Survey on Heart Disease Prediction Using Machine Intelligence
Author(s): Santhosh Gupta Dogiparthi*, Jayanthi K and Ajith Ananthakrishna Pillai
Objectives: The latest statistics of the World Health Organization anticipated that cardiovascular diseases including Coronary Heart Disease, Heart attack, vascular disease as the biggest pandemic to the world due to which one-third of the world population would die. With the emerging AI trends, applying an optimal machine learning model to target early detection and accurate prediction of heart disease is indispensable to bring down the mortality rates and to treat cardiac patients with the best clinical decision support. This stems from the motivation of this paper. This paper presents a comprehensive survey on heart disease prediction models derived and validated out of popular heart disease datasets like the Cleveland dataset, Z-Alizadeh Sani dataset. Methods: This survey was performed using the articles extricated from the Google Scholar, Scopus, Web of Science, Research Gate, an.. Read More»
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