Paper Info
Title
Real-time Intelligent Decision Support in Intensive Medicine.
Abstract
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. The Data Mining models should be continuously assessed and optimized, if necessary, to maintain a certain accuracy. In this paper we present the INTCare system, an intelligent decision support system for intensive medicine and the way it was adapted to the new requirements. Some preliminary results are analysed and discussed.
Year
Venue
Keywords
2010
KMIS 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON KNOWLEDGE MANAGEMENT AND INFORMATION SHARING
Real-time,Knowledge Discovery in Databases,Intensive Care,INTCare,Intelligent Decision Support Systems
Field
DocType
Citations 
Intelligent decision,Data mining,Intelligent decision support system,Computer science,Decision support system,Knowledge management,Intensive care
Conference
10
PageRank 
References 
Authors
1.31
0
6
Name
Order
Citations
PageRank
Filipe Portela117744.10
Manuel Filipe Santos236068.91
Marta Vilas-Boas3475.10
Fernando Rua47815.32
Álvaro M. Silva512518.39
José Neves658075.09