Paper Info
Title
Knowledge Discovery for Pervasive and Real-time Intelligent Decision Support in Intensive Care Medicine.
Abstract
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.
Year
Venue
Keywords
2011
KMIS 2011: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE MANAGEMENT AND INFORMATION SHARING
Pervasive,Decision support process,Real-time,Clinical data,Data acquisition,Intensive care medicine
Field
DocType
Citations 
Data integration,Data mining,Data quality,Computer science,Decision support system,Data acquisition,Knowledge management,Knowledge extraction,Missing data,Clinical decision support system,Intensive care
Conference
11
PageRank 
References 
Authors
0.88
12
8
Name
Order
Citations
PageRank
Filipe Portela117744.10
Pedro Gago2394.53
Manuel Filipe Santos336068.91
Álvaro M. Silva412518.39
Fernando Rua57815.32
José Machado620734.92
António Abelha724357.30
José Neves858075.09