A Bayesian Network Model of the Diagnosis of Ocular Myasthenia Gravis:Definition and Practical Significance of a New Decision Support Tool

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Identifier 20020211_nanos_posters_48
Title A Bayesian Network Model of the Diagnosis of Ocular Myasthenia Gravis:Definition and Practical Significance of a New Decision Support Tool
Creator Preston C Calvert, MD
Subject myasthenia gravis; Bayesian models; decision support tools
Description A Bayesian network probablistic model of the diagnosis of ocular MG is presented. Implications for the effective evaluation of a patient with diplopia or ptosis are discussed.
Date 2002-02-11
Language eng
Format application/pdf
Format Creation application/pdf
Type Text
Source 2002 North American Neuro-Ophthalmology Society Annual Meeting
Relation is Part of NANOS 2002: Poster Presentations
Collection Neuro-ophthalmology Virtual Education Library: NOVEL http://NOVEL.utah.edu
Publisher Spencer S. Eccles Health Sciences Library, University of Utah
Holding Institution North American Neuro-Ophthalmology Association. NANOS Executive Office 5841 Cedar Lake Road, Suite 204, Minneapolis, MN 55416
Rights Management Copyright 2010. For further information regarding the rights to this collection, please visit: https://NOVEL.utah.edu/about/copyright
ARK ark:/87278/s62r6z68
Context URL The NANOS Annual Meeting Neuro-Ophthalmology Collection: https://novel.utah.edu/collection/NAM/toc/
Setname ehsl_novel_nam
ID 182095
Reference URL https://collections.lib.utah.edu/ark:/87278/s62r6z68