KNOWLEDGE DISCOVERY FOR PERVASIVE AND REAL-TIME INTELLIGENT DECISION SUPPORT IN INTENSIVE CARE MEDICINE

Filipe Portela, Pedro Gago, Manuel Filipe Santos, Alvaro Silva, Fernando Rua, José Machado, António Abelha, José Neves

2011

Abstract

Pervasiveness, real-time and online processing are important requirements included in the researchers’ agenda for the development of future generation of Intelligent Decision Support Systems (IDSS). In particular, knowledge discovery based IDSS operating in critical environments such of intensive care, should be adapted to those new requests. This paper introduces the way how INTCare, an IDSS developed in the intensive care unit of the Centro Hospitalar do Porto, will accommodate the new functionalities. Solutions are proposed for the most important constraints, e.g., paper based data, missing values, values out-of-range, data integration, data quality. The benefits and limitations of the approach are discussed.

References

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Paper Citation


in Harvard Style

Portela F., Gago P., Santos M., Silva A., Rua F., Machado J., Abelha A. and Neves J. (2011). KNOWLEDGE DISCOVERY FOR PERVASIVE AND REAL-TIME INTELLIGENT DECISION SUPPORT IN INTENSIVE CARE MEDICINE . In Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011) ISBN 978-989-8425-81-2, pages 241-249. DOI: 10.5220/0003677002410249


in Bibtex Style

@conference{kmis11,
author={Filipe Portela and Pedro Gago and Manuel Filipe Santos and Alvaro Silva and Fernando Rua and José Machado and António Abelha and José Neves},
title={KNOWLEDGE DISCOVERY FOR PERVASIVE AND REAL-TIME INTELLIGENT DECISION SUPPORT IN INTENSIVE CARE MEDICINE},
booktitle={Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011)},
year={2011},
pages={241-249},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003677002410249},
isbn={978-989-8425-81-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Management and Information Sharing - Volume 1: KMIS, (IC3K 2011)
TI - KNOWLEDGE DISCOVERY FOR PERVASIVE AND REAL-TIME INTELLIGENT DECISION SUPPORT IN INTENSIVE CARE MEDICINE
SN - 978-989-8425-81-2
AU - Portela F.
AU - Gago P.
AU - Santos M.
AU - Silva A.
AU - Rua F.
AU - Machado J.
AU - Abelha A.
AU - Neves J.
PY - 2011
SP - 241
EP - 249
DO - 10.5220/0003677002410249