Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/18970
Título: | Information architecture for intelligent decision support in intensive medicine |
Autor(es): | Santos, Manuel Portela, Filipe Vilas Boas, Marta Machado, José Manuel Abelha, António Neves, José Silva, Álvaro Rua, Fernando |
Palavras-chave: | Real-time data acquisition Knowledge discovery in databases Intensive care INTCare Intelligent decision support systems Information models |
Data: | 2009 |
Editora: | World Scientific and Engineering Academy and Society (WSEAS) |
Revista: | WSEAS Transactions on Computers |
Resumo(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. Furthermore, the models should be continuously assessed and optimized, if necessary, to maintain a certain accuracy. In this paper we propose an information architecture to support an adjustment to the INTCare system, an intelligent decision support system for intensive medicine. We focus on the automatization of data acquisition avoiding human intervention, describing its steps and some requirements. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/18970 |
ISSN: | 1109-2750 2224-2872 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: | DI/CCTC - Artigos (papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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36-wseas2009.pdf Acesso restrito! | 1,12 MB | Adobe PDF | Ver/Abrir |