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Evaluation of PHI Hunter in Natural Language Processing Research.
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes.
Can physicians recognize their own patients in de-identified notes?
Generalizability and comparison of automatic clinical text de-identification methods and resources.
BoB, a best-of-breed automated text de-identification system for VHA clinical documents.
Evaluating current automatic de-identification methods with Veteran's health administration clinical documents.
Automatic de-identification of textual documents in the electronic health record: a review of recent research.
Inductive creation of an annotation schema and a reference standard for de-identification of VA electronic clinical notes.
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers.