International Journal of Application or Innovation in Engineering & Management
An Inspiration for Recent Innovation & Research….
ISSN 2319 – 4847
www.ijaiem.org
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Title: |
Heart Disease Prediction Using Hybrid Classifier
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Author Name: |
Mudassir Ahmad, Dr. Sonia Vatta |
Abstract: |
Abstract
The data mining is the approach which can extract useful information from the data. This research work is related to
heart disease prediction. The prediction analysis is the approach which can predict future possibilities based on the
current information. The hybrid classifier is designed in this research work, for the heart disease prediction. The hybrid
classifier is combination of random forest and decision tree classifier. The random forest classifier extract the
information and decision tree generate final classifier result. The proposed hybrid model is implemented in python and
results are compared with SVM classifier. It is analyzed that hybrid classifier has maximum performance as compared
to SVM classifier
Keywords: Hybrid classifier, SVM, Heart disease prediction, Data Mining |
Cite this article: |
Mudassir Ahmad, Dr. Sonia Vatta , "
Heart Disease Prediction Using Hybrid Classifier " , International Journal of Application or Innovation in Engineering & Management (IJAIEM),
Volume 8, Issue 8, August 2019 , pp.
039-046 , ISSN 2319 - 4847.
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