Medical optimal decision making based holonic multi agent system

Author

Esra, Alkaysi ; Reiner, Unland ; Weihs, Claus ; Branki, Cherif

Author_Institution

Inst. for Comput. Sci. & Bus. Inf. Syst., Univ. of Duisburg-Essen, Essen, Germany

Volume

3

fYear

2010

fDate

26-28 Feb. 2010

Firstpage

392

Lastpage

396

Abstract

This paper concentrates on the decision process based on multi-agent system theory; the holonic paradigm, and swarm intelligence techniques, Bayesian probability since, among others, uncertainty is an inherent feature of a medical diagnostic process with highly reliable results. The presented approach focuses on reaching the optimal medical diagnosis with the minimum risk under the given uncertainty. Additional factors that play an important role are the required time for the decision process and the produced costs.

Keywords

Bayes methods; decision making; medical diagnostic computing; multi-agent systems; Bayesian probability; decision process; holonic multiagent system; medical optimal decision making; optimal medical diagnosis; swarm intelligence; Bayesian methods; Decision making; Decision theory; Diagnostic expert systems; Information systems; Medical diagnosis; Medical diagnostic imaging; Medical expert systems; Particle swarm optimization; Uncertainty; Bayesian probability; decision theory; holonic multi agent system; self-organization swarm intelligence; stigmergy; uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-5585-0

Electronic_ISBN

978-1-4244-5586-7

Type

conf

DOI

10.1109/ICCAE.2010.5451382

Filename

5451382