Predictive analysis of blood gasometry parameters related to the infants respiration insufficiency

  • Authors:
  • Wieslaw Wajs;Mariusz Swiecicki;Piotr Wais;Hubert Wojtowicz;Pawel Janik;Leszek Nowak

  • Affiliations:
  • Institute of Automatics, University of Mining and Metallurgy, Cracow, Poland;Intitute of Computer Modelling, University of Technology, Cracow, Poland;Institute of Automatics, University of Mining and Metallurgy, Cracow, Poland;Institute of Automatics, University of Mining and Metallurgy, Cracow, Poland;Faculty of Mathematics, Astronomy and Applied Informatics, Jagiellonian University, Cracow, Poland;Faculty of Mathematics and Informatics, Jagiellonian University, Cracow, Poland

  • Venue:
  • ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
  • Year:
  • 2006

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Abstract

The paper presents application of artificial immune system in time series prediction of the medical data. Prediction mechanism used in the work is basing on the paradigm stating that in the immune system during the response there exist not only antigene – antibody connections but also antigene – antigene connections, which role is control of antibodies activity. Moreover in the work learning mechanism of the artificial immune network, and results of carried out tests are presented.