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Optimized Dual Threshold Entity Resolution For Electronic Health Record Databases – Training Set Size And Active Learning
Clinical databases may contain several records for a single patient. Multiple general entity-resolution algorithms have been developed to identify such duplicate records. To achieve optimal accuracy, algorithm parameters must be tuned to a particular dataset. The purpose of this study was to determi...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Medical Informatics Association
2013
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3900213/ https://ncbi.nlm.nih.gov/pubmed/24551372 |
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