Prediction of Heart Disease through Data mining Techniques – A survey

IJCSEC Front Page

Heart malfunction is the leading disease worldwide. The detection of risk factors and their progress is complicated. The doctors and experts are not available in proportion to the population. In order to assist the physicians by developing an intelligent frame work for diagnosing the disease in heart is one of the essential goals of the researchers. The improved decision tree as C 5.0 is used for the effective extraction of the feature from data set for analysis. Using techniques like Naive Bayes, Neural Network, KNN algorithm and Decision Trees - an Intelligent Heart Disease Prediction System is created. In this paper, the prediction is done accurately using the above mentioned algorithms.

Keywords: Improved decision tree - C 5.0,Naive Bayes, Neural Network, KNN Algorithm, Decision Trees, Heart Disease Prediction System.


  1. KaanUyar, Ahmed Ilhan ”Diagnosis of heart disease using genetic algorithm based trained recurrent fuzzy neural network”,ELSEVIER,2017.
  2. Ms.TejaswiniU.Mane”Smart heart disease prediction system using Improved K-Means and ID3 on Big Data”, IEEE, 2017.
  3. K.Sudhakar, Dr. M. Manimekalai” Study of Heart Disease Prediction using Data Mining”, IJARCSSE, Volume 4, Issue 1,January 2014.
  4. RoniShouval, Amir Hadanny, NirShlomo, ZazaLakobishvili, Ron Unger, DoronZahger, Ronny Alcalai, ShaulAtar, ShmuelGobblieb, ShlomiMatetzky, Ilan Goldenberg, Roy Beigel”Machine learning for prediction of 30 day mortality after ST elevation myocardial infraction : An Acute Coronary Syndrome Israeli Survey data mining study”,ELSEVIER,2017.
  5. Monika Gandhi,Dr.Shailendra Narayan Singh ”Prediction in Heart Disease Using Techniques of Data Mining”, IEEE, 2016.
  6. Vivekanandan, N.Ch SrimanNarayanaIyengar ”Optimal feature selection using a modified differential evolution algorithm and its effectiveness for prediction of heart disease”, ELSEVIER,2017.
  7. Purushottam, Prof.(Dr.)KanakSaxena, Richa Sharma ”Efficient Heart Disease Prediction System”, ELSEVIER,2016.
  8. J.Thomas, Theresa Princy.R “Human Heart Disease Prediction System using Data Mining Techniques”, IEEE, 2016.
  9. Ilayaraja M, Meyyappan T “Efficient Data Mining Method to Predict the Risk of Heart Diseases through Frequent Itemsets”, ICECCS 2015.
  10. Prof.Mamta Sharma, Farheen Khan, VishnupriyaRavichandran ”Comparing Data Mining Techniques Used For Heart Disease Prediction”,IRJET,2017.
  11. Carlos Ordonez ” Association Rule Discovery With the Train and Test Approach for Heart Disease Prediction” , IEEE , 2006.
  12. Raid Lafta,JiZhang,Xiaohui Tao, Yan Li, Xiaodong Zhu, YonglongLuo and Fulong Chen ”Coupling a Fast Fourier Transformation with a Machine Learning Ensemble Model to Support Recommendations for Heart Disease Patients in a Telehealth Environment” , IEEE,2016.
  13. Sulabha S. Apte,ChaitraliS.Dangare “Improved Study of Heart Disease Prediction System using Data Mining Classification Techniques”, International Journal of Computer Applications,2012.