A Study on the accessible techniques to classify and predict the risk of Cardio Vascular Disease
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International Journal of Computer Trends and Technology (IJCTT) | 
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| © 2016 by IJCTT Journal | ||
| Volume-32 Number-1 |
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| Year of Publication : 2016 | ||
| Authors : S. Sivagowry, M. Durairaj | ||
| DOI : 10.14445/22312803/IJCTT-V32P105 |
S. Sivagowry, M. Durairaj "A Study on the accessible techniques to classify and predict the risk of Cardio Vascular Disease". International Journal of Computer Trends and Technology (IJCTT) V32(1):20-27, February 2016. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract -
The health care environment is found to be
loaded with information, but deprived in extracting
knowledge from the information. This is because of
the short of effectual Data Mining tool to determine
concealed associations and trends in them. By
applying the data mining techniques, important
knowledge can be extracted from the health care
system. Heart disease is a assemblage of circumstance
affecting the arrangement and purpose of heart and
has many root causes. Heart disease is the most
important cause of fatality in the humankind over past
ten years. Research has been made with many hybrid
techniques for diagnosing heart disease. This paper
deals with an overall appraisal of application of data
mining in heart disease prediction.
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Keywords
Data Mining, Heart Disease,
Classification, Prediction, Neural Network, Decision
Tree, Naïve Bayes.