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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:
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