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...

Descripción completa

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

Internet

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

Ejemplares similares