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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...
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| I publikationen: | EGEMS (Wash DC) |
|---|---|
| Huvudupphovsmän: | , |
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
Ubiquity Press
2017
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| Ämnen: | |
| Länkar: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5994933/ https://ncbi.nlm.nih.gov/pubmed/29930954 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.13063/2327-9214.1277 |
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