Evaluating current automatic de-identification methods with Veterans health administration clinical documents

BMC Medical Research Methodology

Volumn 12, Issue , 2012, Pages

  Ferrández, Oscar ^a,b   South, Brett R ^a,b   Shen, Shuying ^a,b   Friedlin, F Jeffrey ^c   Samore, Matthew H ^a,b   Meystre, Stéphane M ^a,b  

^a UNIVERSITY OF UTAH SCHOOL OF MEDICINE   (United States)

^b IDEAS Center SLCVA Healthcare System   (United States)

^c REGENSTRIEF INSTITUTE   (United States)

Author keywords

Anonymization; Confidentiality, patient data privacy MeSH F04.096.544.335.240 ; De identification; Electronic health records E05.318.308.940.968.625.500 ; Health insurance portability and accountability act N03.219.521.576.343.349 ; Natural language processing L01.224.065.580 ; United States department of veterans affairs I01.409.137.500.700

Indexed keywords

EID: 84866420050     PISSN: None     EISSN: 14712288     Source Type: Journal    
DOI: 10.1186/1471-2288-12-109     Document Type: Article

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