Abstract
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.
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Mago, V.K., Devi, M.S., Mehta, R. (2008). Decision Making System Based on Bayesian Network for an Agent Diagnosing Child Care Diseases. In: Riaño, D. (eds) Knowledge Management for Health Care Procedures. K4CARE 2007. Lecture Notes in Computer Science(), vol 4924. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78624-5_10
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DOI: https://doi.org/10.1007/978-3-540-78624-5_10
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