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Volume 5 (2012)

	Volume 5, Issue 2 Pg 49 - 87 (May 2012)
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X - International Journal of Information Science and Computer Mathematics (Closed Ed TRF)

X - International Journal of Information Science and Computer Mathematics (Closed Ed TRF)
Volume 5, Issue 2, Pages 49 - 53 (May 2012)

RULE-BASED CLASSIFIERS AND META CLASSIFIERS FOR IDENTIFICATION OF CARDIAC AUTONOMIC NEUROPATHY PROGRESSION

H. F. Jelinek, A. V. Kelarev, A. Stranieri and J. L. Yearwood

Abstract:

We investigate and compare several rule-based classifiers and meta classifiers in their ability to obtain multi-class classifications of cardiac autonomic neuropathy (CAN) and its progression. The best results obtained in our experiments are significantly better than the outcomes published previously in the literature for analogous CAN identification tasks or simpler binary classification tasks.

Keywords and phrases:

classification, data mining, meta classifiers, cardiac autonomic neuropathy.

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