Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
dc.contributor.author
dc.date.accessioned
2010-06-22T11:41:30Z
dc.date.available
2010-06-07T12:29:57Z
2010-06-22T11:41:30Z
dc.date.issued
2008
dc.identifier.citation
Pous, C., Caballero, D., i López, B. (2008). Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning. Eighth International Conference on Hybrid Intelligent Systems : 2008 : HIS '08, 819-824. Recuperat 22 juny 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4626732
dc.identifier.isbn
978-0-7695-3326-1
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dc.description.abstract
This paper addresses the application of a PCA analysis on categorical data prior to diagnose a patients data set using a Case-Based Reasoning (CBR) system. The particularity is that the standard PCA techniques are designed to deal with numerical attributes, but our medical data set contains many categorical data and alternative methods as RS-PCA are required. Thus, we propose to hybridize RS-PCA (Regular Simplex PCA) and a simple CBR. Results show how the hybrid system produces similar results when diagnosing a medical data set, that the ones obtained when using the original attributes. These results are quite promising since they allow to diagnose with less computation effort and memory storage
dc.format.mimetype
application/pdf
dc.language.iso
eng
dc.publisher
IEEE
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/HIS.2008.126
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© Eighth International Conference on Hybrid Intelligent Systems : 2008 : HIS '08, 2008, p. 819-824
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Articles publicats (D-EEEiA)
dc.rights
Tots els drets reservats
dc.subject
dc.title
Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
dc.type
info:eu-repo/semantics/article
dc.rights.accessRights
info:eu-repo/semantics/openAccess
dc.identifier.doi