Skip to main content
padlock icon - secure page this page is secure

USING SET OF EXPERIENCE KNOWLEDGE STRUCTURE TO EXTEND A RULE SET OF CLINICAL DECISION SUPPORT SYSTEM FOR ALZHEIMER'S DISEASE DIAGNOSIS

Buy Article:

$60.00 + tax (Refund Policy)

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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Alzheimer's disease; clinical decision support system; set of experience knowledge structure; user experience

Document Type: Research Article

Affiliations: 1: Vicomtech-IK4, San Sebastian, Spain 2: School of Engineering, Faculty of Engineering and Built Environment,The University of Newcastle, Newcastle, Australia 3: Computational Intelligence Group,University of The Basque Country, San Sebastian, Spain 4: UCAi Group,University Hospital Virgen del Rocio, Seville, Spain 5: VISILAB Group, ETSII,University of Castilla–La Mancha, Ciudad Real, Spain 6: Bilbomatica, Bilbao, Spain

Publication date: February 1, 2012

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more