Predict the Diagnosis of Heart Disease Patients Using Classification Mining Techniques
作者： Shamsher Bahadur ,
DOI: 10.9790/2380-0426164
关键词:
摘要: The data mining can be referred as discovery of relationships in large databases automatically and some cases it is used for predicting based on the results discovered. Data plays an important role various applications such business organizations, e-commerce, health care industry, scientific engineering. In mainly Disease Prediction.the objective our works to predict diagnosis heart disease with reduced number attributes. Here fourteen attributes involved disease. But are six by using Genetic algorithm. Subsequently three classifiers like Naive Bayes, Classification Clustering Decision Tree after reduction
iosrjournals.org 参考文章(14)
Mai Shouman, Tim Turner, Rob Stocker, Using data mining techniques in heart disease diagnosis and treatment 2012 Japan-Egypt Conference on Electronics, Communications and Computers. pp. 173- 177 ,(2012) , 10.1109/JEC-ECC.2012.6186978
R. Bharat Rao, Sriram Krishnan, Radu Stefan Niculescu, Data mining for improved cardiac care Sigkdd Explorations. ,vol. 8, pp. 3- 10 ,(2006) , 10.1145/1147234.1147236
Carlos Ordonez, Comparing association rules and decision trees for disease prediction Proceedings of the international workshop on Healthcare information and knowledge management - HIKM '06. pp. 17- 24 ,(2006) , 10.1145/1183568.1183573
Sellappan Palaniappan, Rafiah Awang, Intelligent heart disease prediction system using data mining techniques acs/ieee international conference on computer systems and applications. pp. 108- 115 ,(2008) , 10.1109/AICCSA.2008.4493524
Anchana Khemphila, Veera Boonjing, Heart Disease Classification Using Neural Network and Feature Selection international conference on systems engineering. pp. 406- 409 ,(2011) , 10.1109/ICSENG.2011.80
Mary K. Obenshain, Application of data mining techniques to healthcare data. Infection Control and Hospital Epidemiology. ,vol. 25, pp. 690- 695 ,(2004) , 10.1086/502460
C. Ordonez, E. Omiecinski, L. de Braal, C.A. Santana, N. Ezquerra, J.A. Taboada, D. Cooke, E. Krawczynska, E.V. Garcia, Mining constrained association rules to predict heart disease international conference on data mining. pp. 433- 440 ,(2001) , 10.1109/ICDM.2001.989549
Minas A Karaolis, Joseph A Moutiris, Demetra Hadjipanayi, Constantinos S Pattichis, Assessment of the Risk Factors of Coronary Heart Events Based on Data Mining With Decision Trees bioinformatics and bioengineering. ,vol. 14, pp. 559- 566 ,(2010) , 10.1109/TITB.2009.2038906
USING EFFICIENT SUPANOVA KERNEL FOR HEART DISEASE DIAGNOSIS ASME Press. ,(2006) , 10.1115/1.802566.PAPER46
M. Karaolis, J.A. Moutiris, L. Papaconstantinou, C.S. Pattichis, Association rule analysis for the assessment of the risk of coronary heart events international conference of the ieee engineering in medicine and biology society. ,vol. 2009, pp. 6238- 6241 ,(2009) , 10.1109/IEMBS.2009.5334656