Extracting information from the text of electronic medical records to improve case detection: a systematic review

Background Electronic medical records (EMRs) are revolutionizing health-related research. One key issue for study quality is the accurate identification of patients with the condition of interest. Information in EMRs can be entered as structured codes or unstructured free text. The majority of resea...

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Detalles Bibliográficos
Autores principales: Ford, Elizabeth, Carroll, John A, Smith, Helen E, Scott, Donia, Cassell, Jackie A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Reviews
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997034/
https://www.ncbi.nlm.nih.gov/pubmed/26911811
http://dx.doi.org/10.1093/jamia/ocv180

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4997034/
https://www.ncbi.nlm.nih.gov/pubmed/26911811
http://dx.doi.org/10.1093/jamia/ocv180

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