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Combining population-based administrative health records and electronic medical records for disease surveillance
BACKGROUND: Administrative health records (AHRs) and electronic medical records (EMRs) are two key sources of population-based data for disease surveillance, but misclassification errors in the data can bias disease estimates. Methods that combine information from error-prone data sources can build...
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| Gepubliceerd in: | BMC Med Inform Decis Mak |
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| Hoofdauteurs: | , , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
BioMed Central
2019
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| Onderwerpen: | |
| Online toegang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6604278/ https://ncbi.nlm.nih.gov/pubmed/31266516 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12911-019-0845-5 |
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