DESIGN OF THE ARTIFICIAL NEURAL NETWORK MODEL FOR THE PREDICTION OF OUTCOME AFTER STROKE

Jiri Polivka Jr., Petr Kratochvil, Vladimir Rohan, Jiri Polivka, Jana Kleckova

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: HEALTHINF, (BIOSTEC 2012) ISBN 978-989-8425-88-1, pages 467-470. DOI: 10.5220/0003875304670470


in Bibtex Style

@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 - Volume 1: HEALTHINF, (BIOSTEC 2012)},
year={2012},
pages={467-470},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003875304670470},
isbn={978-989-8425-88-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2012)
TI - DESIGN OF THE ARTIFICIAL NEURAL NETWORK MODEL FOR THE PREDICTION OF OUTCOME AFTER STROKE
SN - 978-989-8425-88-1
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