Using decision tree for diagnosing heart disease patients

Conferences in Research and Practice in Information Technology Series

Volumn 121, Issue , 2010, Pages 23-30

  Shouman, Mai ^a   Turner, Tim ^a   Stocker, Rob ^a  

^a UNIVERSITY OF NEW SOUTH WALES   (Australia)

Author keywords

Data mining; Decision tree; Discretization; Heart disease

Indexed keywords

BENCHMARK DATA; DATA MINING TECHNIQUES; DISCRETIZATIONS; GAIN RATIO; GINI INDEX; HEALTH CARE PROFESSIONALS; HEART DISEASE; HEART DISEASE DIAGNOSIS; INFORMATION GAIN; REDUCED-ERROR PRUNING; VOTING METHOD;

BINARY TREES; CARDIOLOGY; DATA MINING; DISEASES; HEALTH CARE; INFORMATION TECHNOLOGY; RESEARCH;

DECISION TREES;

EID: 84870510276     PISSN: 14451336     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (40)

1. Anbarasi, M., E. Anupriya, et al. (2010). "Enhanced Prediction of Heart Disease with Feature Subset Selection using Genetic Algorithm." International Journal of Engineering Science and Technology Vol. 2(10).
2. Andreeva, P. (2006). "Data Modelling and Specific Rule Generation via Data Mining Techniques." International Conference on Computer Systems and Technologies -CompSysTech.
3. Australian Bureau of Statistics. (2010). Retrieved 7-February-2011, from http://www.ausstats.abs.gov.au/Ausstats/subscriber.nsf/ 0/E8510D1C8DC1AE1CCA2576F600139288/$File/33 030_2008.pdf
4. Bramer, M. (2007). Principles of data mining, Springer.
5. Das, R., I. Turkoglu, et al. (2009). "Effective diagnosis of heart disease through neural networks ensembles." Expert Systems with Applications, Elsevier 36 (2009): 7675-7680.
6. De Beule, M., E. Maesa, et al. (2007). "Artificial neural networks and risk stratification: A promising combination." Mathematical and Computer Modelling, Elsevier.
7. Dougherty, J., R. Kohavi, et al. (1995). "Supervised and unsupervised discretization of continuous features." In: Proceedings of the 12th international conference on machine learning. San Francisco: Morgan Kaufmann: p. 194-202.
8. ESCAP. (2010). Retrieved 7-February-2011, from http://www.unescap.org/stat/data/syb2009/9.Healthrisks-causes-of-death.asp.
9. Esposito, F., D. Malerba, et al. (1997). "A Comparative Analysis of Methods for Pruning Decision Trees." IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE VOL. 19, NO. 5.
10. European Public Health Alliance. (2010). Retrieved 7-February-2011, from http://www.epha.org/a/2352
11. Fayyad, U. M. and B. I. Keki (1992). "On the handing of Continuous-Valued Attributes in Decision Tree Generation." Machine Learning 8 (87-102).
12. Hall, L. O., K. W. Bowyer, et al. (2000). "Distributed Learning on Very Large Data Sets." In Workshop on Distributed and Parallel Knowledge Discover.
13. Han, J. and M. Kamber (2006). Data Mining Concepts and Techniques, Morgan Kaufmann Publishers.
14. Heller, R. F., S. Chinn, et al. (1984). "How well can we predict coronary heart disease? Findings in the United Kingdom Heart Disease Prevention Project." BRITISH MEDICAL JOURNAL.
15. Helma, C., E. Gottmann, et al. (2000). "Knowledge discovery and data mining in toxicology." Statistical Methods in Medical Research.
16. Kavitha, K. S., K. V. Ramakrishnan, et al. (2010). "Modeling and design of evolutionary neural network for heart disease detection." International Journal of Computer Science Issues (IJCSI) Vol. 7, Issue 5.
17. Kerber, R. (1992). "ChiMerge: Discretization of Numeric Attributes." In Proceedings of the Tenth National Conference on Articial Intelligence
18. Kotsiantis, S. and D. Kanellopoulos (2006). "Discretization Techniques: A recent survey." International Transactions on Computer Science and Engineering Vol.32 (1) pp. 47-58.
19. Lee, I.-N., S.-C. Liao, et al. (2000). "Data mining techniques applied to medical information." Med. inform.
20. Li L, T. H., Wu Z, Gong J, Gruidl M, Zou J, Tockman M, Clark RA (2004). "Data mining techniques for cancer detection using serum proteomic profiling." Artificial Intelligence in Medicine, Elsevier.
21. Obenshain, M. K. (2004). "Application of Data Mining Techniques to Healthcare Data." Infection Control and Hospital Epidemiology.
22. Panzarasa, S., S. Quaglini, et al. (2010). "Data mining techniques for analyzing stroke care processes." Proceedings of the 13th World Congress on Medical Informatics.
23. Paris, I. H. M., L. S. Affendey, et al. (2010). "Improving Academic Performance Prediction using Voting Technique in Data Mining." World Academy of Science, Engineering and Technology 62.
24. Perner, P. and S. Trautzsch (1998). "Multi-Interval Discretization Methods for Decision Tree Learning." Advances in Pattern Recognition, A. Amin, D. Dori, P. Pudil, and H. Freeman (Eds.),LNCS 1451, Springer Verlag S. 475-482.
25. Podgorelec, V., P. Kokol, et al. (2002). "Decision Trees: An Overview and Their Use in Medicine." Journal of Medical Systems Vol. 26.
26. Porter, T. and B. Green (2009). "Identifying Diabetic Patients: A Data Mining Approach." Americas Conference on Information Systems.
27. Rajkumar, A. and G. S. Reena (2010). "Diagnosis Of Heart Disease Using Datamining Algorithm." Global Journal of Computer Science and Technology Vol. 10 (Issue 10).
28. Ruben, D. C. J. (2009). "Data Mining in Healthcare: Current Applications and Issues."
29. Salahuddin and F. Rabbi (2006). "Statistical Analysis of Risk Factors for Cardiovascular disease in Malakand Division." Pak. j. stat. oper. res. Vol. II: pp49-56.
30. Sandhya, J., P. Deepa Shenoy, et al. (2010). "Classification of Neurodegenerative Disorders Based on Major Risk Factors Employing Machine Learning Techniques." International Journal of Engineering and Technology Vol.2, No.4.
31. Shahwan-Akl, L. (2010). "Cardiovascular Disease Risk Factors among Adult Australian-Lebanese in Melbourne." International Journal of Research in Nursing 6 (1).
32. Simons, L. A., J. Simons, et al. (2003). "Risk functions for prediction of cardiovascular disease in elderly Australians: the Dubbo Study." Medical Journal of Australia 178.
33. Sitar-Taut, V. A., D. Zdrenghea, et al. (2009). "Using machine learning algorithms in cardiovascular disease risk evaluation." Journal of Applied Computer Science & Mathematics.
34. Srinivas, K., B. K. Rani, et al. (2010). "Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacks." International Journal on Computer Science and Engineering (IJCSE) Vol. 02, No. 02: 250-255.
35. Tantimongcolwat, T., T. Naenna, et al. (2008). "Identification of ischemic heart disease via machine learning analysis on magnetocardiograms." Computers in Biology and Medicine, Elsevier 38 (2008): 817 - 825.
36. Thuraisingham, B. (2000). "A Primer for Understanding and Applying Data Mining." IT Professional IEEE.
37. Tu, M. C., D. Shin, et al. (2009). "Effective Diagnosis of Heart Disease through Bagging Approach." Biomedical Engineering and Informatics, IEEE.
38. Wilson, P. W. F., R. B. D'Agostino, et al. (1998). "Prediction of Coronary Heart Disease Using Risk Factor Categories." American Heart Association Journal.
39. World Health Organization. (2007). Retrieved 7-Febuary 2011, from http://www.who.int/mediacentre/factsheets/fs310.pdf.
40. Yan, H., J. Zheng, et al. (2003). "Development of a decision support system for heart disease diagnosis using multilayer perceptron." Proceedings of the 2003 International Symposium on vol.5: pp. V-709- V-712.