WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/13463,
	  title     = {Bayesian Network Based Intelligent Pediatric System},
	  author    = {Jagmohan Mago and  Parvinder S. Sandhu and  Neeru Chawla},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, a Bayesian Network (BN) based system
is presented for providing clinical decision support to healthcare
practitioners in rural or remote areas of India for young infants or
children up to the age of 5 years. The government is unable to
appoint child specialists in rural areas because of inadequate number
of available pediatricians. It leads to a high Infant Mortality Rate
(IMR). In such a scenario, Intelligent Pediatric System provides a
realistic solution. The prototype of an intelligent system has been
developed that involves a knowledge component called an Intelligent
Pediatric Assistant (IPA); and User Agents (UA) along with their
Graphical User Interfaces (GUI). The GUI of UA provides the
interface to the healthcare practitioner for submitting sign-symptoms
and displaying the expert opinion as suggested by IPA. Depending
upon the observations, the IPA decides the diagnosis and the
treatment plan. The UA and IPA form client-server architecture for
knowledge sharing.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {5},
	  number    = {1},
	  year      = {2011},
	  pages     = {37 - 41},
	  ee        = {https://publications.waset.org/pdf/13463},
	  url   	= {https://publications.waset.org/vol/49},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 49, 2011},
	}