Ítem
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Pous i Sabadí, Carles
Caballero Parga, Daniel López Ibáñez, Beatriz |
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| 2008 | |
| 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 | |
| application/pdf | |
| 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 | |
| http://hdl.handle.net/10256/2680 | |
| eng | |
| IEEE | |
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Reproducció digital del document publicat a: http://dx.doi.org/10.1109/HIS.2008.126 Articles publicats (D-EEEiA) |
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| © Eighth International Conference on Hybrid Intelligent Systems : 2008 : HIS ’08, 2008, p. 819-824 | |
| Tots els drets reservats | |
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Anàlisi multivariable
Diagnòstic -- Informàtica Raonament basat en casos Medicina -- Informàtica Case-based reasoning Diagnosis -- Data processing Medicine -- Data processing Multivariate analysis |
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| Diagnosing Patients Combining Principal Components Analysis and Case Based Reasoning | |
| info:eu-repo/semantics/article | |
| DUGiDocs |
