Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/33160

TitleReal-time intelligent decision support in intensive medicine
Author(s)Portela, Filipe
Santos, Manuel Filipe
Silva, Alvaro
Rua, Fernando
Vilas Boas, Marta
Neves, José
KeywordsData mining
Real-time
INTCare
Intensive care
knowledge discovery in databases
Intelligent decision support systems
Issue date2010
PublisherInstitute for Systems and Technologies of Information, Control and Communication (INSTICC)
Abstract(s)Daily, a great amount of data that is gathered in intensive care units, which makes intensive medicine a very attractive field for applying knowledge discovery in databases. Previously unknown knowledge can be extracted from that data in order to create prediction and decision models. The challenge is to perform those tasks in real-time, in order to assist the doctors in the decision making process. The Data Mining models should be continuously assessed and optimized, if necessary, to maintain a certain accuracy. In this paper we present the INTCare system, an intelligent decision support system for intensive medicine and the way it was adapted to the new requirements. Some preliminary results are analysed and discussed.
TypeConference paper
URIhttp://hdl.handle.net/1822/33160
ISBN9789898425300
Peer-Reviewedyes
AccessRestricted access (UMinho)
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings

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