Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes

Title
Learning to identify Protected Health Information by integrating knowledge- and data-driven algorithms: A case study on psychiatric evaluation notes
Authors
Keywords
De-identification, Named entity recognition, Information extraction, Clinical text mining, Electronic health record
Journal
JOURNAL OF BIOMEDICAL INFORMATICS
Volume 75, Issue -, Pages S28-S33
Publisher
Elsevier BV
Online
2017-06-08
DOI
10.1016/j.jbi.2017.06.005

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More