Automated extraction of clinical traits of multiple sclerosis in electronic medical records

OBJECTIVES: The clinical course of multiple sclerosis (MS) is highly variable, and research data collection is costly and time consuming. We evaluated natural language processing techniques applied to electronic medical records (EMR) to identify MS patients and the key clinical traits of their disea...

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Detalles Bibliográficos
Autores principales: Davis, Mary F, Sriram, Subramaniam, Bush, William S, Denny, Joshua C, Haines, Jonathan L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2013
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861927/
https://www.ncbi.nlm.nih.gov/pubmed/24148554
http://dx.doi.org/10.1136/amiajnl-2013-001999

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3861927/
https://www.ncbi.nlm.nih.gov/pubmed/24148554
http://dx.doi.org/10.1136/amiajnl-2013-001999

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