title: BANTER: a Bayesian network tutoring shell.
abstract: We present an educational tool for bringing the information contained in a Bayesian network to the end user in an easily intelligible form. The BANTER shell is designed to tutor users in evaluation of hypotheses and selection of optimal diagnostic procedures. BANTER can be used with any Bayesian network containing nodes that can be classified into hypotheses, observations, and diagnostic procedures. The system enables one to present various types of queries to the network, to test one's ability to select optimal diagnostic procedures, and the request explanations. We describe the system's capabilities by illustrating how it functions with two structurally different network models of real-world medical problems.
authors.affiliation: Department of EE and CS, University of Wisconsin-Milwaukee 53201, USA.
authors.forename: P
authors.initials: P
authors.lastname: Haddawy
authors.forename: J
authors.initials: J
authors.lastname: Jacobson
authors.forename: C E
authors.initials: CE
authors.lastname: Kahn
mesh_terms: D000328:Adult; D001499:Bayes Theorem; D003194:Computer-Assisted Instruction; D003936:Diagnosis, Computer-Assisted; D005260:Female; D005705:Gallbladder Diseases / Q000175:diagnosis; D006801:Humans; D008107:Liver Diseases / Q000175:diagnosis; D008279:Magnetic Resonance Imaging; D012984:Software