MPLUS: a probabilistic medical language understanding system

Authors:
Lee M. Christensen;Peter J. Haug;Marcelo Fiszman
Affiliations:
LDS Hospital/University of Utah, Salt Lake City, UT;LDS Hospital/University of Utah, Salt Lake City, UT;LDS Hospital/University of Utah, Salt Lake City, UT
Venue:
BioMed '02 Proceedings of the ACL-02 workshop on Natural language processing in the biomedical domain - Volume 3
Year:
2002

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Abstract

This paper describes the basic philosophy and implementation of MPLUS (M+), a robust medical text analysis tool that uses a semantic model based on Bayesian Networks (BNs). BNs provide a concise and useful formalism for representing semantic patterns in medical text, and for recognizing and reasoning over those patterns. BNs are noise-tolerant, and facilitate the training of M+.