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A supportive attribute-assisted discretization model for medical classification
Wong D.F.; Chao L.S.; Zeng X.D.
2014
Conference Name2nd International Conference on Biomedical Engineering and Biotechnology (iCBEB)
Source PublicationBio-Medical Materials and Engineering
Volume24
Issue1
Pages289-295
Conference DateOCT 11-13, 2013
Conference PlaceWuhan, PEOPLES R CHINA
Abstract

Discretization of a continuous-valued symptom (attribute) in medical data set is a crucial preprocessing step for the medical classification task. This paper proposes a supportive attribute-assisted discretization (SAAD) model for medical diagnostic problems. The intent of this approach is to discover the best supportive symptom that correlates closely with the continuous-valued symptom being discretized and to conduct the discretization process using the significant supportive information that is provided by the best supportive symptom, because we hypothesize that a good discretization scheme should rely heavily on the interaction between a continuous-valued attribute and both its supportive attribute and the class attribute. SAAD can consider each continuous-valued symptom differently and intelligently, which allows it to be capable of minimizing the information lost and the data uncertainty. Hence, SAAD results in higher classification accuracy. Empirical experiments using ten real-life datasets from the UCI repository were conducted to compare the classification accuracy achieved by several prestigious classifiers with SAAD and other state-of-the-art discretization approaches. The experimental results demonstrate the effectiveness and usefulness of the proposed approach in enhancing the diagnostic accuracy. © 2014 - IOS Press and the authors. All rights reserved.

KeywordBioinformatics Data Preprocessing Discretization Medical Classification Supportive Attribute Interdependence
DOI10.3233/BME-130810
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Materials Science
WOS SubjectEngineering, Biomedical ; Materials Science, bioMaterials
WOS IDWOS:000327312600035
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Cited Times [WOS]:5   [WOS Record]     [Related Records in WOS]
Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
AffiliationUniversidade de Macau
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Wong D.F.,Chao L.S.,Zeng X.D.. A supportive attribute-assisted discretization model for medical classification[C],2014:289-295.
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