Annotating longitudinal clinical narratives for de-identification: The 2014 i2b2/UTHealth corpus

Journal of Biomedical Informatics

Volumn 58, Issue , 2015, Pages S20-S29

  Stubbs, Amber ^a   Uzuner, Özlem ^b  

^a SIMMONS COLLEGE   (United States)

^b STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Annotation; De identification; HIPAA; Natural language processing

Indexed keywords

COMPUTATIONAL LINGUISTICS; GOLD; NATURAL LANGUAGE PROCESSING SYSTEMS;

ANNOTATION; DE-IDENTIFICATION; F MEASURE; GOLD STANDARDS; HEALTH INFORMATIONS; HIPAA; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING;

LINGUISTICS;

ARTICLE; COMPUTER ANALYSIS; CONSENSUS DEVELOPMENT; ELECTRONIC MEDICAL RECORD; MEDICAL DOCUMENTATION; MEDICAL INFORMATION SYSTEM; MEDICAL RESEARCH; NATURAL LANGUAGE PROCESSING; PRACTICE GUIDELINE; PRIORITY JOURNAL; AUTOMATED PATTERN RECOGNITION; COHORT ANALYSIS; COMPUTER SECURITY; CONFIDENTIALITY; CONTROLLED VOCABULARY; DATA MINING; DOCUMENTATION; ELECTRONIC HEALTH RECORD; ORGANIZATION AND MANAGEMENT; PROCEDURES; VERBAL COMMUNICATION;

COHORT STUDIES; COMPUTER SECURITY; CONFIDENTIALITY; DATA MINING; DOCUMENTATION; ELECTRONIC HEALTH RECORDS; NARRATION; NATURAL LANGUAGE PROCESSING; PATTERN RECOGNITION, AUTOMATED; VOCABULARY, CONTROLLED;

EID: 84951026409     PISSN: 15320464     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jbi.2015.07.020     Document Type: Article

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