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PREDICTION OF DYNAMIC MEDICAL DATA SERIES USING NEURAL NETWORKS METHOD
Wieslaw Wajs*
* Institute of Automatics,
University of Mining and Metallurgy,
al. Mickiewicza 30, 30-059 Krakow, Poland
Fax: +4812 6341568, e-mail: wwa@ia.agh.edu.pl
The aim of the paper is to develop neural networks technique for solving some important medical problem. That problem is called “Blood gases prognosis values”. The main question, that is considered, is how to predict some parameters that describe blood gases nature in the future for a nowborn based on the set of parameters that describe this child now, and in the past. We are expected to receive some parameters on the proper level of probability.
Keywords: Neural networks, Approximate analysis, Decision making, Dynamic modelling, Decision support systems
Session slot T-Tu-E21: Posters of Agricultural, Biological and Environmental Systems/Area code 4c : Modelling and Control of Biomedical Systems
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