Abstract
The use of Multi-agent systems (MAS) in healthcare domain has been widely recognized. But, due to uncertainty in medical domain, it is difficult to decide the appropriate agent with whom to collaborate in order to find the proper diagnosis for a given set of sign-symptoms. To overcome this problem, a Bayesian network (BN) based decision making framework is presented. The proposed methodology is applied to an Intelligent Pediatric Agent (IPA), a part of MAS for child care [1].
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Mago, V.K., Devi, M.S.: A Multi-agent Medical System for Indian Rural Infant and Child Care. In: Int. Joint Conference on AI, pp. 1396–1401 (2007)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Mago, V.K., Devi, M.S., Mehta, R. (2007). Decision Making System: Agent Diagnosing Child Care Diseases. In: Burkhard, HD., Lindemann, G., Verbrugge, R., Varga, L.Z. (eds) Multi-Agent Systems and Applications V. CEEMAS 2007. Lecture Notes in Computer Science(), vol 4696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75254-7_36
Download citation
DOI: https://doi.org/10.1007/978-3-540-75254-7_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75253-0
Online ISBN: 978-3-540-75254-7
eBook Packages: Computer ScienceComputer Science (R0)