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Extracting Surveillance Data from Templated Sections of an Electronic Medical Note: Challenges and Opportunities
OBJECTIVE: To highlight the importance of templates in extracting surveillance data from the free text of electronic medical records using natural language processing (NLP) techniques. INTRODUCTION: The main stay of recording patient data is the free text of electronic medical records (EMR). While s...
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| Main Authors: | , , , , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
University of Illinois at Chicago Library
2013
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3692923/ |
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