Real-time intelligent decision support in intensive medicine

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...

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Detalhes bibliográficos
Autor principal: Portela, Filipe (author)
Outros Autores: Santos, Manuel Filipe (author), Silva, Alvaro (author), Rua, Fernando (author), Vilas Boas, Marta (author), Neves, José (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2010
Assuntos:
Data mining
Real-time
INTCare
Intensive care
knowledge discovery in databases
Intelligent decision support systems
Science & Technology
Texto completo:http://hdl.handle.net/1822/33160
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/33160

Texto Completo

http://hdl.handle.net/1822/33160

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