PS1-24: Modeling the Relationship Between Self-Reported Urinary Incontinence Data and Diagnoses in an Electronic Health Record

BACKGROUND/AIMS: Self-reported data from large longitudinal mailed surveys provide data on disease symptoms in a population of interest. However, such studies do not give researchers an indication of whether patients have clinically significant symptoms. Access to electronic health record (EHR) data...

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Detalhes bibliográficos
Main Authors: Lichtenfeld, Marc, Sun, Haiyan, Hirsch, Annemarie, Pfleegor, Megan, Reardon, Judith, Kissinger, Ryan, Stewart, Walter, Minassian, Vatché
Formato: Artigo
Idioma:Inglês
Publicado em: Marshfield Clinic 2011
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SELECTED ABSTRACTS - HMORN 2011: Mega-Epidemiology and Genetics
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3251381/
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3121/cmr.2011.1020.ps1-24
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