MPLUS: a probabilistic medical language understanding system
MPLUS: a probabilistic medical language understanding system
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DOI：
10.3115/1118149.1118154
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发表时间：
2002-07
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影响因子：
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通讯作者：
Lee M. Christensen;P. Haug;M. Fiszman
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文献类型：
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作者：
Lee M. Christensen;P. Haug;M. Fiszman
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+.
