USING SET OF EXPERIENCE KNOWLEDGE STRUCTURE TO EXTEND A RULE SET OF CLINICAL DECISION SUPPORT SYSTEM FOR ALZHEIMER'S DISEASE DIAGNOSIS
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.
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clinical decision support system;
set of experience knowledge structure;
Document Type: Research Article
Vicomtech-IK4, San Sebastian, Spain
School of Engineering, Faculty of Engineering and Built Environment,The University of Newcastle, Newcastle, Australia
Computational Intelligence Group,University of The Basque Country, San Sebastian, Spain
UCAi Group,University Hospital Virgen del Rocio, Seville, Spain
VISILAB Group, ETSII,University of Castilla–La Mancha, Ciudad Real, Spain
Bilbomatica, Bilbao, Spain
Publication date: February 1, 2012
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