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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Bibliografiska uppgifter
Huvudupphovsmän: Afzal, Zubair, Schuemie, Martijn J, van Blijderveen, Jan C, Sen, Elif F, Sturkenboom, Miriam CJM, Kors, Jan A
Materialtyp: Artigo
Språk:Inglês
Publicerad: BioMed Central 2013
Ämnen:
Research Article
Länkar:https://ncbi.nlm.nih.gov/pmc/articles/PMC3602667/
https://ncbi.nlm.nih.gov/pubmed/23452306
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1472-6947-13-30
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