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Effects of discretization on determination of coronary artery disease using support vector machine

Published: 24 November 2009 Publication History

Abstract

In this paper, the effect of discretization on determination of coronary artery disease using exercise stress test data by support vector machine classification method is investigated. The study dataset is obtained from cardiology department of Meram faculty of medicine including 480 patients having 23 features. Four classification models are composed. In the first model, the data is classified simply by normalizing it into [-1,1] range. In the second, third and fourth models, the data is classified by employing entropy-MDL, equal width and equal frequency discretization methods on it respectively. Support vector machine is used as the classifier for all classification models. The results show that classification performance of the model implemented by entropy-MDL discretization has the best value.

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cover image ACM Other conferences
ICIS '09: Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
November 2009
1479 pages
ISBN:9781605587103
DOI:10.1145/1655925
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 24 November 2009

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Author Tags

  1. coronary artery disease
  2. discretization
  3. exercise stress test
  4. support vector machines

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  • (2010)Internet traffic classification demystifiedProceedings of the 6th International COnference10.1145/1921168.1921180(1-12)Online publication date: 30-Nov-2010

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