An Intelligent Decision Support System (IDSS) for Nutrition Therapy: Infrastructure, Decision Support, and Knowledge Management Design

Ali Fahmi, Amin Dorostanian, Hassan Rezazadeh and Alireza Ostadrahimi
Additional contact information
Ali Fahmi: University of Tabriz, Tabriz, Iran
Amin Dorostanian: University of Tabriz, Tabriz, Iran
Hassan Rezazadeh: University of Tabriz, Tabriz, Iran
Alireza Ostadrahimi: Tabriz University of Medical Sciences, Tabriz, Iran

International Journal of Reliable and Quality E-Healthcare (IJRQEH), 2013, vol. 2, issue 4, 14-27

Abstract: In this paper, the authors have presented an expert system to support decision makers in nutrition therapy planning. This system is an extended version of a fuzzy decision support system for nutrition therapy. The presented expert system is equipped with an updated knowledge base component by using a set of rules. Also in order to deal with vagueness and uncertainty, fuzzy set theory could provide a suitable framework for data management, modelling and decision support. Therefore, fuzzy rules empower this system to be implemented more realistically. In addition, for developing knowledge management component, artificial neural network (ANN) is applied to survey the input data and information in the long term. The integration of ANN with the expert system provides the possibility for a set of novel rules to be generated and consequently adds new knowledge to the system.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/ijrqeh.2013100102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jrqeh0:v:2:y:2013:i:4:p:14-27

Access Statistics for this article

International Journal of Reliable and Quality E-Healthcare (IJRQEH) is currently edited by Anastasius Moumtzoglou

More articles in International Journal of Reliable and Quality E-Healthcare (IJRQEH) from IGI Global
Bibliographic data for series maintained by Journal Editor ().