Artificial immune system for medical data classification

Authors:
Wiesław Wajs;Piotr Wais;Mariusz Święcicki;Hubert Wojtowicz
Affiliations:
Institute of Automatics, University of Mining and Metallurgy, Kraków, Poland;National Technical University in Krosno;Institute of Computer Modelling, Cracow University of Technology, Kraków, Poland;National Technical University in Krosno
Venue:
ICCS'05 Proceedings of the 5th international conference on Computational Science - Volume Part III
Year:
2005

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Abstract

The article presents application of artificial immune algorithms in classification of vectorized medical data sets. Artificial immune network was created and trained for the purpose of arterial blood gasometry parameters (pH, pCO2, pO2, HCO3) classification. Training data originates from the Infant Intensive Care Unit of the Polish – American Institute of Pediatry, Collegium Medicum, Jagiellonian University in Cracow.