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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

The prognostic value of some continuos measurement parameters calculating Bronchopulmonary Dysplasia predictor is the main goal of the paper. The most important question is, if the continuous measurement of parameters can help us to build a better algorithm solving Bronchopulmonary Dysplasia prediction problem?

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