Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/14893

TitleKnowledge discovery for pervasive and real-time intelligent decision support in intensive care medicine
Author(s)Portela, Filipe
Gago, Pedro
Santos, Manuel Filipe
Silva, Álvaro
Rua, Fernando
Machado, José Manuel
Abelha, António
Neves, José
KeywordsPervasive
Decision support process
Real-time
Clinical data
Data acquisition
Intensive care medicine
Issue date2011
PublisherSCITEPRESS
Abstract(s)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.
TypeConference paper
URIhttp://hdl.handle.net/1822/14893
ISBN9789898425812
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DI/CCTC - Artigos (papers)
DSI - Engenharia e Gestão de Sistemas de Informação

Files in This Item:
File Description SizeFormat 
2011 - KMIS.pdf567,83 kBAdobe PDFView/Open

Partilhe no FacebookPartilhe no TwitterPartilhe no DeliciousPartilhe no LinkedInPartilhe no DiggAdicionar ao Google BookmarksPartilhe no MySpacePartilhe no Orkut
Exporte no formato BibTex mendeley Exporte no formato Endnote Adicione ao seu ORCID