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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 assert...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Informatics Association
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2605605/ https://ncbi.nlm.nih.gov/pubmed/18952931 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1197/jamia.M2950 |
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