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Prediction of Coronary Heart Disease using Algorithms in Data Mining
Abstract
Data mining is the process of examining large databases in order to generate new information. Data mining in health care plays a major role. Healthcare industry generates large amounts of complex data about patients, hospital resources, disease diagnosis, electronic patient records, medical devices etc., Heart disease is a term for a number of different diseases which affects our heart. Common heart diseases are cardiovascular disease, Carotid Artery Disease (CAD), Coronary Heart Disease (CHD), Peripheral Artery Disease (PAD), Chronic Heart Disease (CKD) and stroke. The objective of this paper is to evaluate different classification technique in heart disease forecasting like Naive Bayes and K-Nearest Neighbor algorithms.
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References
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