Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
Data(s) |
2008
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Resumo |
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 |
Formato |
application/pdf |
Identificador |
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 978-0-7695-3326-1 |
Idioma(s) |
eng |
Publicador |
IEEE |
Relação |
Reproducció digital del document publicat a: http://dx.doi.org/10.1109/HIS.2008.126 © Eighth International Conference on Hybrid Intelligent Systems : 2008 : HIS '08, 2008, p. 819-824 Articles publicats (D-EEEiA) |
Direitos |
Tots els drets reservats |
Palavras-Chave | #Anàlisi multivariable #Diagnòstic -- Informàtica #Raonament basat en casos #Medicina -- Informàtica #Case-based reasoning #Diagnosis -- Data processing #Medicine -- Data processing #Multivariate analysis |
Tipo |
info:eu-repo/semantics/article |