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Volume 20 No 9 (2022)
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Heart Disease Probability Test Using Classification and Regression Tree Model
Dr.A.Selvakumar, Dr.P.Sudha and Dr.K.Jayaprakash
Abstract
To forecast the diagnosis of the heart disease with minimum attributes using data mining techniques is
the main objective of this research. The heart diseases which affect the heart cause decreased blood flow.
Data Mining is an important technique has developed in medical information to analyze the large volume
of data into trends and patterns. A large number of algorithms are used to efficiently diagnose the medical
data set. To forecast heart diseases, Classification and Regression Tree (CART) can be used. IBM SPSS v.
23 decision trees empower you to recognize groups, find out the relationships between them and forecast
upcoming events. The decision trees can help you present categorical results and more evidently make
clear analyses to the general public. The accuracy of the algorithms is measured in terms of performance
and the function is analyzed and the results are calculated
Keywords
Heart diseases, decision tree, SPSS, CART, Data Mining
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