The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON COMPUTERS
Transactions ID Number: 29-342
Full Name: Manuel Santos
Position: Professor
Age: ON
Sex: Male
Address: Department of Information Systems, University of Minho, Campus de Azurém, Guimarães
Country: PORTUGAL
Tel: +351253510306
Tel prefix:
Fax: +351253510300
E-mail address: mfs@dsi.uminho.pt
Other E-mails:
Title of the Paper: Adaptive Knowledge Discovery for Decision Support in Intensive Care Units
Authors as they appear in the Paper: Pedro Gago and Manuel Filipe Santos
Email addresses of all the authors: pgago@estg.ipleiria.pt,mfs@dsi.uminho.pt
Number of paper pages: 10
Abstract: Clinical Decision Support Systems (CDSS) are becoming commonplace. They are used to alert doctors about drug interactions, to suggest possible diagnostics and in several other clinical situations. One of the approaches to building CDSS is by using techniques from the Knowledge Discovery from Databases (KDD) area. However using KDD for the construction of the knowledge base used in such systems, while reducing the maintenance work still demands repeated human intervention. In this work we present a KDD based architecture for CDSS for intensive care medicine. By resorting to automated data acquisition our architecture allows for the evaluation of the predictions made and subsequent action aiming at improving the predictive performance thus enhancing adaptive capacities.
Keywords: Clinical Decision Support, Intelligent Decision Support Systems, Knowledge Discovery, Intensive care, Ensembles, Multi-Agent Systems
EXTENSION of the file: .doc
Special (Invited) Session: Closed loop Knowledge Discovery for Decision Support in
Organizer of the Session: 620-471
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