De-identification of psychiatric intake records: Overview of 2016 CEGS N-GRID shared tasks Track 1

Author:

Stubbs Amber,Filannino Michele,Uzuner Özlem

Funder

NIH

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference31 articles.

1. A.A.l. Abdulsalam, K. Abdulrahman, Stephane Meystre, Learning to De-Identify Clinical Text with Existing Hybrid Tools, J. Biomed. Inform.

2. John Aberdeen, Samuel Bayer, Cheryl Clark, Ben Wellner, Lynette Hirschman, De-Identification of Psychiatric Evaluation Notes with the MITRE Identification Scrubber Toolkit, in: Proceedings of the 2016 CEGS/N-GRID Shared Task in Clinical NLP, 2016.

3. Duy Bui, Duc An, Mathew Wyatt, James J. Cimino, The UAB Informatics Institute and the 2016 CEGS N-GRID Shared-Task: De-Identification, J. Biomed. Inform. 75 (2017) S54–S61.

4. Hiding in plain sight: use of realistic surrogates to reduce exposure of protected health information in clinical text;Carrell;J. Am. Med. Inform. Assoc.: JAMIA,2013

5. Combining knowledge- and data-driven methods for de-identification of clinical narratives;Dehghan;J. Biomed. Inform.,2015

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