Machine Learning and Rule-based Approaches to Assertion Classification
نویسندگان
چکیده
منابع مشابه
Research Paper: 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 assertion classification. DESIGN For each mention of each medical problem, both approaches determine w...
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ژورنال
عنوان ژورنال: Journal of the American Medical Informatics Association
سال: 2009
ISSN: 1067-5027,1527-974X
DOI: 10.1197/jamia.m2950