Knowledge-based System for Urinalysis

Fabrício Henrique Rodrigues, José Antônio Tesser Poloni, Cecília Dias Flores, Liane Nanci Rotta

Abstract

Urinalysis is a very important test of laboratory medicine, providing valuable information about metabolism, kidney, and urinary tract. For several reasons, including lacking of professional qualification, it does not receive the proper attention, what prevents it to achieve its whole power. Considering that, a knowledge-based system for decision support in urinalysis could help to change this situation, being useful to professional training, decision support during the process or even the automation of the test. This paper proposes the development of such a system, employing ontologies, Bayesian networks, and templates of cognitive tasks to treat domain knowledge. Then, urinalysis is briefly discussed and system architecture is presented, as well as the current state of the work and future steps.

References

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Paper Citation


in Harvard Style

Rodrigues F., Poloni J., Flores C. and Rotta L. (2014). Knowledge-based System for Urinalysis . In Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-027-7, pages 514-519. DOI: 10.5220/0004952305140519


in Bibtex Style

@conference{iceis14,
author={Fabrício Henrique Rodrigues and José Antônio Tesser Poloni and Cecília Dias Flores and Liane Nanci Rotta},
title={Knowledge-based System for Urinalysis},
booktitle={Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2014},
pages={514-519},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004952305140519},
isbn={978-989-758-027-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 16th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Knowledge-based System for Urinalysis
SN - 978-989-758-027-7
AU - Rodrigues F.
AU - Poloni J.
AU - Flores C.
AU - Rotta L.
PY - 2014
SP - 514
EP - 519
DO - 10.5220/0004952305140519