Machine Learning and Rule-based Approaches to Assertion Classification

Machine Learning and Rule-based Approaches to Assertion Classification

Objectives The authors study two approaches to assertion classification. One of these approaches, Extended NegEx (ENegEx), extends the rule-based NegEx algorithm to cover alter-association assertions; the other, Statistical Assertion Classifier (StAC), presents a machine learning solution to asserti...

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Bibliographic Details
Main Authors: Uzuner, Ozlem (Contributor), Zhang, Xiaoran (Contributor), Sibanda, Tawanda (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: BMJ Publishing Group, 2010-03-09T21:43:46Z.
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