Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Using Bayesian Networks for Discovering Temporal-State Transition Patterns in Hemodialysis
HICSS '02 Proceedings of the 35th Annual Hawaii International Conference on System Sciences (HICSS'02)-Volume 6 - Volume 6
A New Agent-Oriented Development Methodology
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
IAT '04 Proceedings of the IEEE/WIC/ACM International Conference on Intelligent Agent Technology
A multi-agent medical system for Indian rural infant and child care
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
IEEE Transactions on Information Technology in Biomedicine
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In some cases a pediatrician seeks help from super specialist so as to diagnose the problem accurately. In a Mutli-agent environment, an agent called Intelligent Pediatric Agent (IPA) is imitating the behavior of a pediatrician. The aim is to design a decision making framework for this agent so that it can select a Super Specialist Agent (SSA) among several agents for consultation. A Bayesian Network (BN) based decision making system has been designed with the help of a pediatrician. The prototype system first selects a probable disease, out of 11; and then suggests one super specialist out of 5 super specialists. To verify the results produced by BN, a questionnaire containing 15 different cases was distributed to 21 pediatricians. Their responses are compared with the output of the system using KS test. The result suggests that 91.83% pediatricians agree with the result produced by the system. So, we can conclude that BN provides an appropriate framework to imitate the behavior of a pediatrician during selection of an appropriate specialist.