Title
Agent-Based Medical Diagnosis Systems
Abstract
Medical diagnostics elaboration many times is a distributed and cooperative work, which involves more medical human specialists and different medical systems. Recent results described in the literature prove that medical diagnosis problems can be solved efficiently by large-scale medical multiagent systems. Cooperative diagnosing of medical diagnosis problems by large-scale multiagent systems makes the diagnoses elaborations easier and may increase the accuracy Of elaborated diagnostics. The purpose of the study described in this paper consists in the development of a novel large-scale hybrid medical diagnosis system called LMDS. The LMDS system is composed from physicians, medical expert system agents developed in our previous works and medical TCMA agents. Medical ICMA agents represent a novel class of agents with the TCMA architecture developed in our previous works, endowed with medical diagnosis capability. The main novelty of the LMDS system consists in the novel classes of agent members of the system and the manner in which the members of the system contribute to the problems solving. Each diagnostics can be elaborated cooperatively by more members of the system. The diagnosis system can solve difficult medical diagnosis problems whose solving must be discovered cooperatively by the members of the system. Many difficult medical problem solving requires medical knowledge that cannot be detained by a single physician or a, medical computational system, Simulations prove the correctness in operation of the LMDS system.
Year
Venue
Keywords
2008
COMPUTING AND INFORMATICS
Medical diagnosis, medical diagnosis systems, complex systems, intelligent agents, multiagent systems, cooperative problem solving, medical applications, computational methods in medicine, applications to biology and medical sciences, medical expert system agents
Field
DocType
Volume
Local Multipoint Distribution Service,Intelligent agent,Software engineering,Computer science,Correctness,Expert system,Theoretical computer science,Multi-agent system,Artificial intelligence,Novelty,Medical algorithm,Medical diagnosis
Journal
27
Issue
ISSN
Citations 
4
1335-9150
5
PageRank 
References 
Authors
0.47
0
1
Name
Order
Citations
PageRank
Barna Laszlo Iantovics1198.47