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.
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Wajs, W., Wais, P., Swiecicki, M., Wojtowicz, H.: Artificial Immune System for Medical Data Classification. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3516, pp. 810–812. Springer, Heidelberg (2005)
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Wajs, W., Swiecicki, M., Wais, P., Wojtowicz, H., Janik, P., Nowak, L. (2006). Predictive Analysis of Blood Gasometry Parameters Related to the Infants Respiration Insufficiency. In: Alexandrov, V.N., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science – ICCS 2006. ICCS 2006. Lecture Notes in Computer Science, vol 3991. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11758501_43
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DOI: https://doi.org/10.1007/11758501_43
Publisher Name: Springer, Berlin, Heidelberg
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