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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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Detalhes bibliográficos
Main Authors: Joffe, Erel, Byrne, Michael J., Reeder, Phillip, Herskovic, Jorge R., Johnson, Craig W., McCoy, Allison B., Bernstam, Elmer V.
Formato: Artigo
Idioma:Inglês
Publicado em: American Medical Informatics Association 2013
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3900213/
https://ncbi.nlm.nih.gov/pubmed/24551372
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