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Authors: Filipe Portela 1 ; Pedro Gago 2 ; Manuel Filipe Santos 1 ; Alvaro Silva 3 ; Fernando Rua 4 ; José Machado 1 ; António Abelha 1 and José Neves 1

Affiliations: 1 Universidade do Minho, Portugal ; 2 Instituto Politécnico de Leiria, Portugal ; 3 Centro Hospitalar do Porto, Portugal ; 4 Centro Hospitalar do Porto - Hospital de Santo António, Portugal

ISBN: 978-989-8425-81-2

Keyword(s): Pervasive, Decision support process, Real-time, Clinical data, Data acquisition, Intensive care medicine.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Business Intelligence ; Collaboration and e-Services ; Complex Systems Modeling and Simulation ; Data Engineering ; e-Business ; Enterprise Information Systems ; Health Information Systems ; Integration/Interoperability ; Intelligent Information Systems ; Interoperability ; Knowledge Management and Information Sharing ; Knowledge-Based Systems ; Ontologies and the Semantic Web ; Sensor Networks ; Simulation and Modeling ; Software Agents and Internet Computing ; Software and Architectures ; Software Engineering ; Symbolic Systems

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.

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Paper citation in several formats:
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

@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},
}

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

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