Protected Health Information Recognition by Fine-Tuning a Pre-training Transformer Model
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DOI: 10.4258/hir.2022.28.1.16
Abstract: Objectives De-identifying protected health information (PHI) in medical documents is important, and a prerequisite to de-identification is the identification of PHI entity names in clinical documents. This study aimed to compare the performance of three… read more here.
Keywords: recognition; protected health; xlnet; model ... See more keywords