Using set of experience knowledge structure to extend a rule set of clinical decision support system for Alzheimer's disease diagnosis

Title: Using set of experience knowledge structure to extend a rule set of clinical decision support system for Alzheimer's disease diagnosis
Creator: Toro, Carlos; Sanchez, Eider; Guijarro, Frank; Carrasco, Eduardo; Mancilla-Amaya, Leonardo; Sanín, Cesar; Szczerbicki, Edward; Graña, M; Bonachela, Patricia; Parra, Carlos; Bueno, Gloria
Relation: Cybernetics and Systems Vol. 43, Issue 2, p. 81-95
Publisher Link: http://dx.doi.org/10.1080/01969722.2012.654070
Publisher: Taylor & Francis
Resource Type: journal article
Date: 2012
Description: In this article we present an experience-based clinical decision support system (CDSS) for the diagnosis of Alzheimer's disease, which enables the discovery of new knowledge in the system and the generation of new rules that drive reasoning. In order to evolve an initial set of production rules given by medical experts we make use of the Set of Experience Knowledge Structure (SOEKS). An illustrative case of our system is also presented.
Subject: Alzheimer's disease; clinical decision support system; set of experience knowledge structure; user experience
Identifier: http://hdl.handle.net/1959.13/1311871
Identifier: uon:22307
Identifier: ISSN:0196-9722
Language: eng
Reviewed

		Thumbnail	File	Description	Size	Format