Using Set of Experience Knowledge Structure to Extend a Rule Set of Clinical Decision Support System for Alzheimer-s Disease Diagnosis

Authors: Carlos Toro and Eider Sanchez and Eduardo Carrasco and Leonardo Enrique Mancilla-Amaya and Cesar Sanín and Edward Szczerbicki and Manuel Graña and Patricia Bonachela and Carlos Parra and Gloria Bueno and Frank Guijarro

Date: 02.03.2012

Cybernetics and Systems


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Abstract

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.

BIB_text

@Article {
author = {Carlos Toro and Eider Sanchez and Eduardo Carrasco and Leonardo Enrique Mancilla-Amaya and Cesar Sanín and Edward Szczerbicki and Manuel Graña and Patricia Bonachela and Carlos Parra and Gloria Bueno and Frank Guijarro},
title = {Using Set of Experience Knowledge Structure to Extend a Rule Set of Clinical Decision Support System for Alzheimer-s Disease Diagnosis},
journal = {Cybernetics and Systems},
pages = {81-95},
volume = {43},
keywds = {

Alzheimer's disease, clinical decision support system, set of experience knowledge structure, user experience


}
abstract = {

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.


}
isi = {1},
date = {2012-03-02},
year = {2012},
}
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