Gago, PedroSantos, Manuel Filipe2025-06-092025-06-092009-07Gago, P. E. D. R. O., & Santos, M. F. (2009, July). Closed loop knowledge discovery for decision support in intensive care medicine. In WSEAS International Conference. Proceedings. Recent Advances in Computer Engineering (No. 13). WSEAS.978-960-474-099-41790-5109http://hdl.handle.net/10400.8/1319213th WSEAS International Conference on Computers - Held as part of the 13th WSEAS CSCC Multiconference, 23 July 2009 through 25 July 2009 - Code 79164Clinical 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 closing the KDD loop.engClinical Decision SupportIntelligent Decision Support SystemsKnowledge DiscoveryIntensive careEnsemblesMulti-Agent Systemsconference paper