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Re-examination of Rule-Based Methods in Deidentification of Electronic Health Records: Algorithm Development and Validation

BACKGROUND: Deidentification of clinical records is a critical step before their publication. This is usually treated as a type of sequence labeling task, and ensemble learning is one of the best performing solutions. Under the framework of multi-learner ensemble, the significance of a candidate rul...

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Detalles Bibliográficos
Autores principales:	Zhao, Zhenyu, Yang, Muyun, Tang, Buzhou, Zhao, Tiejun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	JMIR Publications 2020
Materias:	Original Paper
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7226054/ https://www.ncbi.nlm.nih.gov/pubmed/32352384 http://dx.doi.org/10.2196/17622

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