Associative classification approach for diagnosing cardiovascular disease

Lecture Notes in Control and Information Sciences

Volumn 345, Issue , 2006, Pages 721-727

  Noh, Kiyong ^a   Lee, Heon Gyu ^b   Shon, Ho Sun ^b   Lee, Bum Ju ^b   Ryu, Keun Ho ^b  

^a Korea Research Institute of Standards and Science   (South Korea)

^b Chungbuk National University   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 33748873052     PISSN: 01708643     EISSN: None     Source Type: Book Series    
DOI: 10.1007/11816515_82     Document Type: Conference Paper

References (14)

1. Cohen.: Biomedical Signal Processing. CRC press, Boca Raton, FL (1988)
2. Conumel, P., ECG: Past and Future. Annals NY Academy of Sciences, Vol.601 (1990)
3. J. Pan: A Real-time QRS Detection Algorithm. IEEE Trans. Eng. 32 (1985) 230-236
4. Taddei, G., Constantino, Silipo, R.: A System for the Detection of Ischemic Episodes in Ambulatory ECG. Computers in Cardiology, IEEE Comput. Soc. Press, (1995) 705-708
5. Meste, H., Rix, P., Caminal.: Ventricular Late Potentials Characterization in Time-frequency Domain by Means of a Wavelet Transform. IEEE Trans. Biomed. Eng. 41 (1994) 625-634
6. Thakor, N. V., Yi-Sheng, Z.: Applications of Adaptive Filtering to ECG Analysis: Noise Cancellation and Arrhythmia Detection. IEEE Trans. Biomed. Eng. 38 (1991) 785-794
7. Kuo, D., Chen, G. Y.: Comparison of Three Recumbent Position on Vagal and Sympathetic Modulation using Spectral Heart Rate Variability in Patients with Coronary Artery Disease. American Journal of Cardiology, 81 (1998) 392-396
8. Guzzetti, S., Magatelli, R., Borroni, E.: Heart Rate Variability in Chronic Heart Failure. American Neuroscience; Basic and Clmical, 90 (2001)102-105
9. Duda, R., Hart, P.: Pattern Classification and Scene Analysis. John Wiley, New York, (1973)
10. Quinlan, J., C4.5: Programs for Machine Learning, Morgan Kaufmann. San Mateo, (1993)
11. th International Conference Knowledge Discovery and Data Mining, (1998)
12. Han, J., Pei, J., Yin, Y.: Mining Frequent Patterns without Candidate Generation. In SIGMOD'00, Dallas, TX, (2000)
13. Li, W., Han, J., Pei, J.: CMAR: Accurate and Efficient Classification Based on Multiple Association Rules. In Proc. of 2001 International Conference on Data Mining, (2001)
14. Jin Suk Kim, Hohn Gyu Lee, Sungbo Seo, Keun Ho Ryu: CTAR: Classification Based on Temporal Class-Association Rules for Intrusion Detection. In Proc, of the 4th International Workshop on Information Security Applications, (2003) 101-113