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Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning

10 years 5 months ago
Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
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.
Carles Pous, Dani Caballero, Beatriz López
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where HIS
Authors Carles Pous, Dani Caballero, Beatriz López
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