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DQ(e)-v: A Database-Agnostic Framework for Exploring Variability in Electronic Health Record Data Across Time and Site Location
Data variability is a commonly observed phenomenon in Electronic Health Records (EHR) data networks. A common question asked in scientific investigations of EHR data is whether the cross-site and -time variability reflects an underlying data quality error at one or more contributing sites versus act...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Ubiquity Press
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5994933/ https://www.ncbi.nlm.nih.gov/pubmed/29930954 http://dx.doi.org/10.13063/2327-9214.1277 |