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Improving sensitivity of machine learning methods for automated case identification from free-text electronic medical records

BACKGROUND: Distinguishing cases from non-cases in free-text electronic medical records is an important initial step in observational epidemiological studies, but manual record validation is time-consuming and cumbersome. We compared different approaches to develop an automatic case identification s...

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Detalles Bibliográficos
Autores principales:	Afzal, Zubair, Schuemie, Martijn J, van Blijderveen, Jan C, Sen, Elif F, Sturkenboom, Miriam CJM, Kors, Jan A
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3602667/ https://www.ncbi.nlm.nih.gov/pubmed/23452306 http://dx.doi.org/10.1186/1472-6947-13-30

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