Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning

  • Authors:
  • Carles Pous;Dani Caballero;Beatriz Lopez

  • Affiliations:
  • -;-;-

  • Venue:
  • HIS '08 Proceedings of the 2008 8th International Conference on Hybrid Intelligent Systems
  • Year:
  • 2008

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Abstract

This paper addresses the application of a PCA analysison categorical data prior to diagnose a patients data set usinga 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.