An evaluation of feature sets and sampling techniques for de-identification of medical records

IHI'10 - Proceedings of the 1st ACM International Health Informatics Symposium

Volumn , Issue , 2010, Pages 183-190

  Gardner, James ^a   Xiong, Li ^a   Wang, Fusheng ^a   Post, Andrew ^a   Saltz, Joel ^a   Grandison, Tyrone ^b  

^a EMORY UNIVERSITY   (United States)

^b IBM RESEARCH   (United States)

Author keywords

conditional random fields; de identification; medical text

Indexed keywords

COMPREHENSIVE EVALUATION; CONDITIONAL RANDOM FIELD; DE-IDENTIFICATION; EFFICIENT SYSTEMS; F-SCORE; FEATURE SETS; HEALTH INFORMATICS; HEALTH INFORMATIONS; MEDICAL RECORD; MEDICAL TEXT; OPEN-SOURCE SOFTWARES; PERSONAL HEALTH; POSITIVE PREDICTIVE VALUES; POTENTIAL IMPACTS; SAMPLING TECHNIQUE; STATISTICAL LEARNING; TRUE NEGATIVE;

HEALTH; INFORMATION SCIENCE;

QUALITY CONTROL;

EID: 78650948123     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1882992.1883019     Document Type: Conference Paper

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