2006 | OriginalPaper | Chapter
Predictive Analysis of the pO2 Blood Gasometry Parameter Related to the Infants Respiration Insufficiency
Authors : Wieslaw Wajs, Mariusz Swiecicki, Piotr Wais, Hubert Wojtowicz, Pawel Janik, Leszek Nowak
Published in: Intelligent Information Processing and Web Mining
Publisher: Springer Berlin Heidelberg
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The article presents application of artificial immune algorithms in prediction of the
p
O
2
arterial blood gasometry parameter, which is related to the infants respiration insufficiency. Artificial immune network algorithm created for this purpose allows for time series prediction of the vectorized data sets. Training data originates from the Infant Intensive Care Unit of the Polish – American Institute of Pediatry, Collegium Medicum, Jagiellonian University in Cracow.