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Authors: Jiri Polivka Jr. 1 ; Petr Kratochvil 1 ; Vladimir Rohan 2 ; Jiri Polivka 2 and Jana Kleckova 1

Affiliations: 1 University of West Bohemia, Czech Republic ; 2 Charles University Medical School and University Hospital in Plzen, Czech Republic

Keyword(s): Neural network, Stroke, Predictive medicine, Preventive medicine.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Business Analytics ; Data Engineering ; Data Mining ; Databases and Information Systems Integration ; Datamining ; Decision Support Systems ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Knowledge Management ; Ontologies and the Semantic Web ; Sensor Networks ; Signal Processing ; Society, e-Business and e-Government ; Soft Computing ; Web Information Systems and Technologies

Abstract: In our contemporary research we are trying to develop the artificial neural network (ANN) model for the prediction of outcome after the occurrence of stroke. This paper mentions some important facts about stroke as well as the urgent need for Computer Assisted Decision Support (CAMS) systems in the relation to clinical practice. The short review of related studies of ANN in medicine is included. The model input and output parameters were selected and are also described. The basic ANN design for the predictive model is mentioned together with the future directions of our research.

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Paper citation in several formats:
Polivka Jr., J.; Kratochvil, P.; Rohan, V.; Polivka, J. and Kleckova, J. (2012). DESIGN OF THE ARTIFICIAL NEURAL NETWORK MODEL FOR THE PREDICTION OF OUTCOME AFTER STROKE. In Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF; ISBN 978-989-8425-88-1; ISSN 2184-4305, SciTePress, pages 467-470. DOI: 10.5220/0003875304670470

@conference{healthinf12,
author={Jiri {Polivka Jr.}. and Petr Kratochvil. and Vladimir Rohan. and Jiri Polivka. and Jana Kleckova.},
title={DESIGN OF THE ARTIFICIAL NEURAL NETWORK MODEL FOR THE PREDICTION OF OUTCOME AFTER STROKE},
booktitle={Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF},
year={2012},
pages={467-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003875304670470},
isbn={978-989-8425-88-1},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Health Informatics (BIOSTEC 2012) - HEALTHINF
TI - DESIGN OF THE ARTIFICIAL NEURAL NETWORK MODEL FOR THE PREDICTION OF OUTCOME AFTER STROKE
SN - 978-989-8425-88-1
IS - 2184-4305
AU - Polivka Jr., J.
AU - Kratochvil, P.
AU - Rohan, V.
AU - Polivka, J.
AU - Kleckova, J.
PY - 2012
SP - 467
EP - 470
DO - 10.5220/0003875304670470
PB - SciTePress

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