Artificial Immune System for Medical Data Classification

Wajs, Wieslaw; Wais, Piotr; Swiecicki, Mariusz; Wojtowicz, Hubert

doi:10.1007/11428862_112

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“…Our modified version of immune net algorithm [4] was adapted to cope with continuous signals prediction. The aforementioned algorithm is presented below.…”

Section: Learning Algorithmmentioning

confidence: 99%

Predictive Analysis of Blood Gasometry Parameters Related to the Infants Respiration Insufficiency

Wajs¹,

Swiecicki

Wais³

et al. 2006

Computational Science – ICCS 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.

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“…Our modified version of immune net algorithm [4] was adapted to cope with continuous signals prediction. The aforementioned algorithm is presented below.…”

Section: Learning Algorithmmentioning

confidence: 99%