DocumentCode :
3272801
Title :
IMASC - An Intelligent MultiAgent System for Clinical Decision Support
Author :
Czibula, Gabriela ; Czibula, Istvan Gergely ; Cojocar, Grigoreta Sofia ; Guran, Adriana Mihaela
Author_Institution :
Dept. of Comput. Sci., Babes-Bolyai Univ., Cluj-Napoca, Romania
fYear :
2008
fDate :
8-10 Nov. 2008
Firstpage :
185
Lastpage :
190
Abstract :
Clinical decision support systems form a significant part of the field of clinical knowledge management technologies, being interactive computer programs, which are designed to assist physicians and other health professionals with decision making tasks. Nowadays, agent oriented techniques are important new means in analyzing, designing and building complex software systems. We propose in this paper an intelligent multiagent system, named IMASC, for assisting physicians in their decision making tasks. We have implemented the proposed system for assisting physicians in diagnosing the heart disease. The performance of our system and comparisons with other similar approaches are also reported.
Keywords :
decision making; decision support systems; health care; knowledge management; learning (artificial intelligence); medical computing; multi-agent systems; IMASC; clinical decision support system; complex software system; decision making task; health professional; intelligent multiagent system; interactive computer program; knowledge management technology; supervised learning technique; Artificial intelligence; Biomedical equipment; Decision support systems; Feedback; Intelligent agent; Intelligent systems; Medical diagnostic imaging; Medical services; Multiagent systems; Software agents; clinical decision support system; multiagent system; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complexity and Intelligence of the Artificial and Natural Complex Systems, Medical Applications of the Complex Systems, Biomedical Computing, 2008. CANS '08. First International Conference on
Conference_Location :
Targu Mures, Mures
Print_ISBN :
978-0-7695-3621-7
Type :
conf
DOI :
10.1109/CANS.2008.28
Filename :
5231428
Link To Document :
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