The week's pick
Reseach Article
Prediction of Heart Disease using Supervised Learning Algorithms
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 165 - Number 5 |
| Year of Publication: 2017 |
| Authors: T. Marikani, K. Shyamala |
10.5120/ijca2017913868
|
T. Marikani, K. Shyamala . Prediction of Heart Disease using Supervised Learning Algorithms. International Journal of Computer Applications. 165, 5 ( May 2017), 41-44. DOI=10.5120/ijca2017913868
Abstract
The diagnosis of disease is difficult but critical task in medicine. Data mining is the process of extracting hidden interesting patterns from massive database. In the healthcare industry it plays a significant task for predicting the disease. Heart disease is a single largest cause of death in developed countries and one of the main contributors to disease burden in developing countries. Data mining is a more convenient tool to assist physicians in detecting the diseases by obtaining knowledge and information regarding the disease from patient’s data. By using data mining techniques it takes less time for the prediction of the disease with more accuracy. This paper aims at analyzing the various data mining techniques namely Decision Trees, Naive Bayes, Neural Networks, Random Forest Classification and Support Vector Machine by using the Cleveland dataset for Heart disease prediction. Few of the supervised learning algorithms are used for the prediction of heart disease. It provides a quick and easy understanding of various prediction models in data mining and helps to find the best model for further work.
References
- Resul Das, Ibrahim Turkoglu and Abdulkadir Sengur., Effective diagnosis of heart disease through neural network ensembles. Expert System with Application, pp 7675-7680, 2009.
- Anbarasi Masilamani, Anupriya and N.C.H.S.N. Iyengar., Enhanced prediction of Heart Disease with feature subset selection using Genetic Algorithm. International Journal of Engineering and Science Invention, Vol 2(10), pp 1-4, 2010.
- Ansari.A.Q. and Neeraj Kumar Gupta., Automated Diagnosis of coronary heart disease using Neuro-Fuzzy integrated system. World Congress on Information and Communication Technology, pp 1383-1388, 2011.
- Nidhi Bhatla and Kiran Jyoti., 2012. An analysis of heart disease prediction using different data mining techniques. International Journal of Engineering Research & Technology, Vol 1(8), pp 1-4, Oct 2012.
- T.John Peter and K.Somasundaram, Study and development of novel feature selection framework for heart disease prediction. International Journal of Scientific and Research Publications, Vol 2(10), 2012.
- Chaitrail S.Dangare and Sulabha S.Apte, Data mining approach for prediction of heart disease using neural network. International Journal of Computer Engineering & Technology(IJCET), Vol 3(3), pp 30-40, Oct 2012.
- Jesmin Nahar, Tasadduq Imam and Kevin Tickle.S & Yi – Ping Chan., Computational Intelligence for heart disease diagnosis: A medical knowledge driven Approach. Expert System with Application Vol 40. pp 96-104, 2013.
- Thenmozhi.K and Deepika.P, Heart Disease Prediction using classification with different decision tree techniques. International Journal of Engineering Research & General Science, Vol 2(6), pp 6-11, Oct 2014.
- Deepali Chandna, Diagnosis of heart disease using data mining algorithm. International Journal of Computer Science and Information Technology, Vol 5(20), pp 1678-1680, 2014.
- Tamilarasi.R and Dr.Porkodi.R., A study and analysis of disease prediction techniques in data mining for healthcare. International Journal of Emerging Research in Management and Technology, Vol 4(3), pp 76-82, March 2015.
- Aravinthan.K and Dr.Vanitha.M., A comparative study on Prediction of Heart Disease using Cluster and Rank based Approach. International Journal of Advanced Research in Computer and Communication Engineering, Vol 5(2), pp 421-424, February 2016.
- Akhil jabbar.M, Dr.Priti Chandra and Dr.B.L. Deekshatulu., Heart disease prediction system using Associative classification and Genetic Algorithm. International Conference on Electrical and Information Technologies, Vol (1), pp 183-192, Dec 2012.
- Imran Kurt, Mevlut Ture and Turhan Kurum.A., Comparing performances of logistic regression, classification and regression tree and neural networks for predicting coronary artery disease. Expert System with Application, Vol 3(4), pp 366-374, 2008.
- Hlaudi Daniel Masethe and Mkosima Anna Masethe., Prediction of Heart Disease using Classification Algorithms. World Conference on Electrical and Computer Science, Vol II, pp 22-24, October 2014.
- Suganya.R, Rajaram.S, Sheik Abdullah.A and Rajendran.V., A Novel Feature Selection Method for Predicting Heart Disease with Data Mining Techniques. Asian Journal of Information Technology, Vol 15(8), pp 1314-1321, 2016.
- Beant Kaur and Williamjeet Singh., Review on Heart Disease Prediction system using Data Mining Techniques. International Journal on Recent and Innovation Trends in Computing and Communication, Vol 2(10), pp 3003-3008, 2014.
- Subanya.B and Rajalaxmi.R.R, A Novel Feature Selection Algorithm for Heart Disease Classification, International Journal of Computation Intelligence and Informatics, Vol 4(2), pp 117-124, 2014.
- Sagar Imambi.S and Sudha.T,, A Novel Features Selection Method of Classification of Medical Documents from Pubmed. International Journal of Computer Applications, Vol 26(9), pp 29-33, July 2011.
Index Terms
Keywords