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A Survey on Machine Learning Algorithms in Data Mining for Prediction of Heart Disease

Data mining can be viewed as a result of the natural evolution of information technology. Data mining is the process of discovering interesting patterns and knowledge from large amounts of data. The data sources can include databases, data warehouses, the Web, other information repositories, or data that are streamed into the system dynamically.

Data mining brings a set of tools and techniques that can be applied to processed medical data to discover hidden patterns that provide healthcare professionals an additional source of knowledge for making decisions.

This survey analyzed different papers in which one or more machine learning algorithms of data mining used for the prediction of heart disease. Applying data mining techniques in medical field especially in heart disease treatment can give reliable performance.
Authors: V.A.Kanimozhi, Dr. T. Karthikeyan

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