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Title:	Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning
Author:	Pous i Sabadí, Carles; Caballero Parga, Daniel; López Ibáñez, Beatriz
Resum:	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
Publication date:	2014-03-20
Subject(s):	-Anàlisi multivariable -Diagnòstic -- Informàtica -Raonament basat en casos -Medicina -- Informàtica -Case-based reasoning -Diagnosis -- Data processing -Medicine -- Data processing -Multivariate analysis
Rights:	Tots els drets reservats
Document type:	Article
Published by:	IEEE
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