Automatic detection of protected health information from clinic narratives

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Automatic detection of protected health information from clinic narratives

This paper presents a natural language processing (NLP) system that was designed to participate in the 2014 i2b2 de-identification challenge. The challenge task aims to identify and classify seven main Protected Health Information (PHI) categories and 25 associated sub categories. A hybrid model was...

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Bibliographic Details
Main Authors:	Yang, Hui, Garibaldi, Jonathan M.
Format:	Article
Published:	Elsevier 2015
Subjects:	Protected Health Information (PHI); De-identification; Hybrid model; Natural language processing; Clinical text mining
Online Access:	https://eprints.nottingham.ac.uk/37551/

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