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A Frequency-based Strategy of Obtaining Sentences from Clinical Data Repository for Crowdsourcing.

Authors :
Li D
Rastegar Mojarad M
Li Y
Sohn S
Mehrabi S
Komandur Elayavilli R
Yu Y
Liu H
Source :
Studies in health technology and informatics [Stud Health Technol Inform] 2015; Vol. 216, pp. 1033-4.
Publication Year :
2015

Abstract

In clinical NLP, one major barrier to adopting crowdsourcing for NLP annotation is the issue of confidentiality for protected health information (PHI) in clinical narratives. In this paper, we investigated the use of a frequency-based approach to extract sentences without PHI. Our approach is based on the assumption that sentences appearing frequently tend to contain no PHI. Both manual and automatic evaluations on 500 sentences out of the 7.9 million sentences of frequencies higher than one show that no PHI can be found among them. The promising results provide potentials of releasing those sentences for obtaining sentence-level NLP annotations via crowdsourcing.

Details

Language :
English
ISSN :
1879-8365
Volume :
216
Database :
MEDLINE
Journal :
Studies in health technology and informatics
Publication Type :
Academic Journal
Accession number :
26262333