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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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Detalhes bibliográficos
Main Authors: Davis, Mary F, Sriram, Subramaniam, Bush, William S, Denny, Joshua C, Haines, Jonathan L
Formato: Artigo
Idioma:Inglês
Publicado em: BMJ Publishing Group 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3861927/
https://ncbi.nlm.nih.gov/pubmed/24148554
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1136/amiajnl-2013-001999
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