Knowledge discovery for pervasive and real-time intelligent decision support in intensive care medicine

Portela, Filipe; Gago, Pedro; Santos, Manuel Filipe; Silva, Álvaro; Rua, Fernando; Machado, José Manuel; Abelha, António; Neves, José

http://hdl.handle.net/10400.8/14465

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Autores

Portela, Filipe

Gago, Pedro

Santos, Manuel Filipe

Resumo(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.

Palavras-chave

Pervasive Decision support process Real-time Clinical data Data acquisition Intensive care medicine

URI

http://hdl.handle.net/10400.8/14465

Citação

Portela F., Gago P., Santos M.F., Silva A., Rua F., MacHado J., Abelha A., Neves J. Knowledge discovery for pervasive and real-time Intelligent Decision Support in intensive care medicine (2011) KMIS 2011 - Proceedings of the International Conference on Knowledge Management and Information Sharing, pp. 241 - 249

Editora

Scitevents

Coleções

ESTG - Comunicações em conferências e congressos internacionais

Licença CC

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