| Autor: |
Olga V, Patterson, Thomas, Ginter, Scott L, DuVall |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
Studies in health technology and informatics. 192 |
| ISSN: |
1879-8365 |
| Popis: |
Instance-based classification of clinical text is a widely used natural language processing task employed as a step for patient classification, document retrieval, or information extraction. Rule-based approaches rely on concept identification and context analysis in order to determine the appropriate class. We propose a five-step process that enables even small research teams to develop simple but powerful rule-based NLP systems by taking advantage of a common UIMA AS based pipeline for classification. Our proposed methodology coupled with the general-purpose solution provides researchers with access to the data locked in clinical text in cases of limited human resources and compact timelines. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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