MULTIPLE ORGAN FAILURE DIAGNOSIS USING ADVERSE EVENTS AND NEURAL NETWORKS

Álvaro Silva, Paulo Cortez, Manuel Santos, Lopes Gomes, José Neves

2004

Abstract

In the past years, the Clinical Data Mining arena has suffered a remarkable development, where intelligent data analysis tools, such as Neural Networks, have been successfully applied in the design of medical systems. In this work, Neural Networks are applied to the prediction of organ dysfunction in Intensive Care Units. The novelty of this approach comes from the use of adverse events, which are triggered from four bedside alarms, being achieved an overall predictive accuracy of 70%.

Paper Citation

in Harvard Style

Silva Á., Cortez P., Santos M., Gomes L. and Neves J. (2004). MULTIPLE ORGAN FAILURE DIAGNOSIS USING ADVERSE EVENTS AND NEURAL NETWORKS . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 972-8865-00-7, pages 401-408. DOI: 10.5220/0002623804010408

in Bibtex Style

@conference{iceis04,
author={Álvaro Silva and Paulo Cortez and Manuel Santos and Lopes Gomes and José Neves},
title={MULTIPLE ORGAN FAILURE DIAGNOSIS USING ADVERSE EVENTS AND NEURAL NETWORKS},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2004},
pages={401-408},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002623804010408},
isbn={972-8865-00-7},
}

in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - MULTIPLE ORGAN FAILURE DIAGNOSIS USING ADVERSE EVENTS AND NEURAL NETWORKS
SN - 972-8865-00-7
AU - Silva Á.
AU - Cortez P.
AU - Santos M.
AU - Gomes L.
AU - Neves J.
PY - 2004
SP - 401
EP - 408
DO - 10.5220/0002623804010408