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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Detalles Bibliográficos
Autores principales: Gundlapalli, Adi, Divita, Guy, Carter, Marjorie, Shen, Shuying, Palmer, Miland, Forbush, Tyler, South, Brett, Redd, Andrew, Sauer, Brian, Samore, Matthew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Illinois at Chicago Library 2013
Materias:
ISDS 2012 Conference Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692923/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3692923/

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