Assistant Professor, Department of computer Science and Engineering Bannari Amman Institute of Technology, Sathyamangalam TamilNadu, India.
Abstract
Data mining is a means of processing and converting information from various points of view into usable knowledge. This technique is used to detect cardiovascular disease. The risk factor can be used to easily classify cardiac conditions. The main purpose is to evaluate multiple testing approaches for cardiac disease. The next item is the planning and preprocessing of the dataset of core numbers. Properties classified by machine learning must be identified after the extract. Artificial learning promises increased efficiency compared to current ones. Quality parameters like accuracy, precision and Fmeasurement have to be determined after classification. The machine learning produces better performance. Decision tree is the required diagnostics description of cardiac disease in the current dataset, as calculated in comparative measures.
B, M. M. K., & P R, M. R. (2021). A Healthcare System For Predicting Cardiac Disease Using Machine Learning. Int. J. of Aquatic Science, 12(3), 1301-1306.
MLA
Mr. Magesh Kumar B; Mrs. Rupashini P R. "A Healthcare System For Predicting Cardiac Disease Using Machine Learning". Int. J. of Aquatic Science, 12, 3, 2021, 1301-1306.
HARVARD
B, M. M. K., P R, M. R. (2021). 'A Healthcare System For Predicting Cardiac Disease Using Machine Learning', Int. J. of Aquatic Science, 12(3), pp. 1301-1306.
VANCOUVER
B, M. M. K., P R, M. R. A Healthcare System For Predicting Cardiac Disease Using Machine Learning. Int. J. of Aquatic Science, 2021; 12(3): 1301-1306.
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