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Research Article
Hybrid Classification Algorithm for Heart Disease Prediction
M.Kartheeswari1
G.Ramkumar2
1 Department of Computer Science, Sri Kaliswari College (Autonomous), Sivakasi, Tamilnadu, India. 2 Assistant Professor, Department of Computer Science, Sri Kaliswari College (Autonomous), Sivakasi, Tamilnadu, India.
Published Online: May-June 2022
Pages: 207-210
Cite this article
No DOIReferences
1. Khan, M., Ding, Q., & Perrizo, W. (2002). K-nearest neighbor classification on spatial data streams using p- trees. In Advances in
Knowledge Discovery and Data Mining (pp. 517-528). Springer Berlin Heidelberg.
2. Lavanya, D., & Rani, K. U. (2012). Ensemble decision tree classifier for breast cancer data. International Journal of Information
Technology Convergence and Services (IJITCS), 2(1), 17-24.
3. Picek, S., Golub, M.: On the Efficiency of Crossover Operators in Genetic Algorithms with Binary Representation. In: Proceedings of
the 11th WSEAS International Conference on Neural Networks (2010)
4. Rish, I. (2001). An empirical study of the naive Bayes classifier. In IJCAI 2001 workshop on empirical methods in artificial intelligence
(Vol. 3, No. 22, pp. 41-46). IBM New York.
5. Nidhi Bhatla Kiran Jyoti, An Analysis of Heart Disease Prediction using Different Data Mining Techniques, International Journal of
Engineering Research & Technology (IJERT), 2012
6. Mohammad Taha Khan, Dr. Shamimul Qamar and Laurent F. Massin, A Prototype of Cancer/Heart Disease Prediction Model Using
Data Mining, International Journal of Applied Engineering Research, 2012.
7. K. embandasamy, R. Sasipriya AND E. Deepa Heart Diseases Detection using Naïve Bayes Algorithm
IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 9, September 2015.
8. MirpouyaMirmozaffari, Alireza Alinezhad Data Mining Classification Algorithms for Heart Disease Prediction Conference Paper ·
November 2016.
9. V.Ravikumar, M.Bhavani Effective Heart Disease Prediction using Hybrid machine learning ISSN NO:0377-92 Vol 12, Issue 12,
Dec/2021.
10. Rohit Bharti, AdityoKhamparia, Mohammad Shabaz, GauravDhiman, Sagarpande, and Parneetsingh Prediction of Heart Disease
using a combination of Machine Learning and Deep Learning Received 16 May 2021; Revised 15 June 2021; Accepted 21 June 2021;
Published 1 July 2021.
11. Ishtake S.H ,Prof. Sanap S.A., “Intelligent Heart Disease Prediction System Using Data Mining Techniques”, International J. of
Healthcare & Biomedical Research,2013.
12. Dr. K. Usha Rani,analysis of heart diseases dataset using neural network approach,International Journal of Data Mining & Knowledge
Management Process, 2011.
13. Y.S.Kumaraswamy and Shantakumar B.Patil “Intelligent and Effective Heart Attack Prediction System Using Data Mining and
Artificial Neural Network‖”; European Journal of Scientific Research, ISSN 1450-216X Vol.31 No.4, 2009.
14. Dilip Roy Chowdhury, Mridula Chatterjee & R. K. Samanta, An Artificial Neural Network Model for Neonatal Disease Diagnosis,
International Journal of Artificial Intelligence and Expert Systems (IJAE), Volume (2): Issue (3), 2011.
15. Milan Kumari, Sunila Godara, Comparative Study of Data Mining Classification Methods in Cardiovascular Disease Prediction,
IJCST Vol. 2, Iss ue 2, June 2011
Knowledge Discovery and Data Mining (pp. 517-528). Springer Berlin Heidelberg.
2. Lavanya, D., & Rani, K. U. (2012). Ensemble decision tree classifier for breast cancer data. International Journal of Information
Technology Convergence and Services (IJITCS), 2(1), 17-24.
3. Picek, S., Golub, M.: On the Efficiency of Crossover Operators in Genetic Algorithms with Binary Representation. In: Proceedings of
the 11th WSEAS International Conference on Neural Networks (2010)
4. Rish, I. (2001). An empirical study of the naive Bayes classifier. In IJCAI 2001 workshop on empirical methods in artificial intelligence
(Vol. 3, No. 22, pp. 41-46). IBM New York.
5. Nidhi Bhatla Kiran Jyoti, An Analysis of Heart Disease Prediction using Different Data Mining Techniques, International Journal of
Engineering Research & Technology (IJERT), 2012
6. Mohammad Taha Khan, Dr. Shamimul Qamar and Laurent F. Massin, A Prototype of Cancer/Heart Disease Prediction Model Using
Data Mining, International Journal of Applied Engineering Research, 2012.
7. K. embandasamy, R. Sasipriya AND E. Deepa Heart Diseases Detection using Naïve Bayes Algorithm
IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 9, September 2015.
8. MirpouyaMirmozaffari, Alireza Alinezhad Data Mining Classification Algorithms for Heart Disease Prediction Conference Paper ·
November 2016.
9. V.Ravikumar, M.Bhavani Effective Heart Disease Prediction using Hybrid machine learning ISSN NO:0377-92 Vol 12, Issue 12,
Dec/2021.
10. Rohit Bharti, AdityoKhamparia, Mohammad Shabaz, GauravDhiman, Sagarpande, and Parneetsingh Prediction of Heart Disease
using a combination of Machine Learning and Deep Learning Received 16 May 2021; Revised 15 June 2021; Accepted 21 June 2021;
Published 1 July 2021.
11. Ishtake S.H ,Prof. Sanap S.A., “Intelligent Heart Disease Prediction System Using Data Mining Techniques”, International J. of
Healthcare & Biomedical Research,2013.
12. Dr. K. Usha Rani,analysis of heart diseases dataset using neural network approach,International Journal of Data Mining & Knowledge
Management Process, 2011.
13. Y.S.Kumaraswamy and Shantakumar B.Patil “Intelligent and Effective Heart Attack Prediction System Using Data Mining and
Artificial Neural Network‖”; European Journal of Scientific Research, ISSN 1450-216X Vol.31 No.4, 2009.
14. Dilip Roy Chowdhury, Mridula Chatterjee & R. K. Samanta, An Artificial Neural Network Model for Neonatal Disease Diagnosis,
International Journal of Artificial Intelligence and Expert Systems (IJAE), Volume (2): Issue (3), 2011.
15. Milan Kumari, Sunila Godara, Comparative Study of Data Mining Classification Methods in Cardiovascular Disease Prediction,
IJCST Vol. 2, Iss ue 2, June 2011
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