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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lenic, M. Povalej, P. Zorman, M. Podgorelec, V. Kokol, P. Lhotska, L. |
| Copyright Year | 2003 |
| Description | Author affiliation: Lab. for Syst. Design, Maribor Univ., Slovenia (Lenic, M.; Povalej, P.; Zorman, M.; Podgorelec, V.; Kokol, P.) |
| Abstract | In this paper we present a multimethod approach for induction of a specific class of classifiers, which can assist physicians in medical diagnosing in the case of mitral valve prolapse. Mitral valve prolapse is one of the most controversial prevalent cardiac condition and may affect up to ten percent of the population and in the worst case results in sudden death. MultiVeDec is a general framework enabling researchers to generate various intelligent tools based on machine learning. In this paper we focused on various decision tree methods, which are capable of extracting knowledge in a form closer to human perception, a feature that is very important in medical field. The experiment included classifiers with various classical single method approaches, evolutionary approaches, hybrid approaches and also our newest multimethod approach. The main concern of the latest approach is to rind a way to enable dynamic combination of methodologies to the somehow quasi unified knowledge representation. The proposed multimethod approach was capable to outperform all other tested approaches by producing classifier for diagnosing mitral valve prolapse with the highest overall and average class accuracy. |
| Starting Page | 195 |
| Ending Page | 198 |
| File Size | 472443 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780376676 |
| DOI | 10.1109/ITAB.2003.1222509 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2003-04-24 |
| Publisher Place | United Kingdom |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Machine learning Medical diagnosis Valves Decision trees Medical diagnostic imaging Humans Knowledge representation Classification tree analysis Blood flow Laboratories |
| Content Type | Text |
| Resource Type | Article |
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