论文信息 - Artificial Immune System for Medical Data Classification

Artificial Immune System for Medical Data Classification

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.

Piotr Wais | Wieslaw Wajs | Mariusz Swiecicki | Hubert Wojtowicz

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