Improved de-identification of physician notes through integrative modeling of both public and private medical text

Improved de-identification of physician notes through integrative modeling of both public and private medical text

Background: Physician notes routinely recorded during patient care represent a vast and underutilized resource for human disease studies on a population scale. Their use in research is primarily limited by the need to separate confidential patient information from clinical annotations, a process th...

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Bibliographic Details
Main Authors: McMurry, Andrew J., Fitch, Britt, Savova, Guergana, Reis, Ben Y., Kohane, Isaac
Other Authors: Harvard University--MIT Division of Health Sciences and Technology
Format: Article
Language:English
Published: BioMed Central Ltd 2013
Online Access:http://hdl.handle.net/1721.1/81881

Internet

http://hdl.handle.net/1721.1/81881

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