Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents-Reference-Cited by-同舟云学术

Evaluating current automatic de-identification methods with Veteran’s health administration clinical documents

Published:2012-07-27 Issue:1 Volume:12 Page:
ISSN:1471-2288
Container-title:BMC Medical Research Methodology
language:en
Short-container-title:BMC Med Res Methodol

Author:

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

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Epidemiology

Link

http://link.springer.com/article/10.1186/1471-2288-12-109/fulltext.html

Reference22 articles.

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3. Meystre SM, Friedlin FJ, South BR, Shen S, Samore MH: Automatic de-identification of textual documents in the electronic health record: a review of recent research. BMC Med Res Methodol. 2010, 10: 70-10.1186/1471-2288-10-70.

4. Meystre SM, Savova GK, Kipper-Schuler KC, Hurdle JF: Extracting information from textual documents in the electronic health record: a review of recent research. Yearb Med Inform. 2008, 47: 128-144.

5. Grishman R, Sundheim B: Message understanding conference-6: A brief history. In New York. Assoc for Comput Linguist. 1996, 1: 466-471.

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