heart disease prediction project with source code
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Nowadays, health diseases are increasing day by day due to the hereditary lifestyle. Especially, heart disease have become more common these days, that is, people's lives are at risk. Each individual has different values for blood pressure, cholesterol and pulse rate. However, according to the clinically proven results, normal blood pressure values are 120/90, cholesterol is and pulse frequency is 72. This article presents the different classification techniques used to predict the level of risk Of each person according to age, pressure, cholesterol, pulse. The risk level of the patient is classified using data-mining classification techniques such as Naïve Bayes, KNN, Decision Tree Algorithm, Neural Network. Etc., the accuracy of the risk level is high when more number of attributes are used.
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