Information modeling for real-time 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: Santos, Manuel (author)
Outros Autores: Portela, Filipe (author), Vilas-Boas, Marta (author), Machado, José Manuel (author), Abelha, António (author), Neves, José (author), Silva, Álvaro (author), Rua, Fernando (author)
Formato: conferencePaper
Idioma:eng
Publicado em: 2009
Assuntos:
Real-time data acquisition
Knowledge discovery in databases
Intensive care
INTCare
Intelligent decision support systems
Information models
Science & Technology
Texto completo:http://hdl.handle.net/1822/18938
País:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/18938

Texto Completo

http://hdl.handle.net/1822/18938

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