Thrombophilia Screening - An Artificial Neural Network Approach

João Vilhena, M. Rosário Martins, Henrique Vicente, Luís Nelas, José Machado, José Neves

Abstract

Thrombotic disorders have severe consequences for the patients and for the society in general, being one of the main causes of death. These facts reveal that it is extremely important to be preventive; being aware of how probable is to have that kind of syndrome. Indeed, this work will focus on the development of a decision support system that will cater for an individual risk evaluation with respect to the surge of thrombotic complaints. The Knowledge Representation and Reasoning procedures used will be based on an extension to the Logic Programming language, allowing the handling of incomplete and/or default data. The computational framework in place will be centered on Artificial Neural Networks.

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Paper Citation


in Harvard Style

Vilhena J., Rosário Martins M., Vicente H., Nelas L., Machado J. and Neves J. (2015). Thrombophilia Screening - An Artificial Neural Network Approach . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 51-59. DOI: 10.5220/0005197500510059


in Bibtex Style

@conference{healthinf15,
author={João Vilhena and M. Rosário Martins and Henrique Vicente and Luís Nelas and José Machado and José Neves},
title={Thrombophilia Screening - An Artificial Neural Network Approach},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={51-59},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005197500510059},
isbn={978-989-758-068-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Thrombophilia Screening - An Artificial Neural Network Approach
SN - 978-989-758-068-0
AU - Vilhena J.
AU - Rosário Martins M.
AU - Vicente H.
AU - Nelas L.
AU - Machado J.
AU - Neves J.
PY - 2015
SP - 51
EP - 59
DO - 10.5220/0005197500510059