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Items: 1 to 20 of 78

1.

Using a pipeline to improve de-identification performance.

Morrison FP, Sengupta S, Hripcsak G.

AMIA Annu Symp Proc. 2009 Nov 14;2009:447-51.

2.

Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?

Morrison FP, Li L, Lai AM, Hripcsak G.

J Am Med Inform Assoc. 2009 Jan-Feb;16(1):37-9. doi: 10.1197/jamia.M2862. Epub 2008 Oct 24.

3.

Automated de-identification of free-text medical records.

Neamatullah I, Douglass MM, Lehman LW, Reisner A, Villarroel M, Long WJ, Szolovits P, Moody GB, Mark RG, Clifford GD.

BMC Med Inform Decis Mak. 2008 Jul 24;8:32. doi: 10.1186/1472-6947-8-32.

4.

Text de-identification for privacy protection: a study of its impact on clinical text information content.

Meystre SM, Ferrández Ó, Friedlin FJ, South BR, Shen S, Samore MH.

J Biomed Inform. 2014 Aug;50:142-50. doi: 10.1016/j.jbi.2014.01.011. Epub 2014 Feb 3.

5.

Evaluation of PHI Hunter in Natural Language Processing Research.

Redd A, Pickard S, Meystre S, Scehnet J, Bolton D, Heavirland J, Weaver AL, Hope C, Garvin JH.

Perspect Health Inf Manag. 2015 Jan 1;12:1f. eCollection 2015.

6.

BoB, a best-of-breed automated text de-identification system for VHA clinical documents.

Ferrández O, South BR, Shen S, Friedlin FJ, Samore MH, Meystre SM.

J Am Med Inform Assoc. 2013 Jan 1;20(1):77-83. doi: 10.1136/amiajnl-2012-001020. Epub 2012 Sep 4.

7.

Bootstrapping a de-identification system for narrative patient records: cost-performance tradeoffs.

Hanauer D, Aberdeen J, Bayer S, Wellner B, Clark C, Zheng K, Hirschman L.

Int J Med Inform. 2013 Sep;82(9):821-31. doi: 10.1016/j.ijmedinf.2013.03.005. Epub 2013 Apr 30.

PMID:
23643147
8.

Developing a standard for de-identifying electronic patient records written in Swedish: precision, recall and F-measure in a manual and computerized annotation trial.

Velupillai S, Dalianis H, Hassel M, Nilsson GH.

Int J Med Inform. 2009 Dec;78(12):e19-26. doi: 10.1016/j.ijmedinf.2009.04.005. Epub 2009 May 23.

PMID:
19482543
9.

Improved de-identification of physician notes through integrative modeling of both public and private medical text.

McMurry AJ, Fitch B, Savova G, Kohane IS, Reis BY.

BMC Med Inform Decis Mak. 2013 Oct 2;13:112. doi: 10.1186/1472-6947-13-112.

10.

Automatic de-identification of textual documents in the electronic health record: a review of recent research.

Meystre SM, Friedlin FJ, South BR, Shen S, Samore MH.

BMC Med Res Methodol. 2010 Aug 2;10:70. doi: 10.1186/1471-2288-10-70. Review.

11.

CRFs based de-identification of medical records.

He B, Guan Y, Cheng J, Cen K, Hua W.

J Biomed Inform. 2015 Dec;58 Suppl:S39-46. doi: 10.1016/j.jbi.2015.08.012. Epub 2015 Aug 24.

12.

Combining knowledge- and data-driven methods for de-identification of clinical narratives.

Dehghan A, Kovacevic A, Karystianis G, Keane JA, Nenadic G.

J Biomed Inform. 2015 Dec;58 Suppl:S53-9. doi: 10.1016/j.jbi.2015.06.029. Epub 2015 Jul 22.

13.

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

Ferrández O, South BR, Shen S, Friedlin FJ, Samore MH, Meystre SM.

BMC Med Res Methodol. 2012 Jul 27;12:109.

14.

Proposal and evaluation of FASDIM, a Fast And Simple De-Identification Method for unstructured free-text clinical records.

Chazard E, Mouret C, Ficheur G, Schaffar A, Beuscart JB, Beuscart R.

Int J Med Inform. 2014 Apr;83(4):303-12. doi: 10.1016/j.ijmedinf.2013.11.005. Epub 2013 Dec 7.

PMID:
24370391
15.

De-identification of primary care electronic medical records free-text data in Ontario, Canada.

Tu K, Klein-Geltink J, Mitiku TF, Mihai C, Martin J.

BMC Med Inform Decis Mak. 2010 Jun 18;10:35. doi: 10.1186/1472-6947-10-35.

16.

Location bias of identifiers in clinical narratives.

Hanauer DA, Mei Q, Malin B, Zheng K.

AMIA Annu Symp Proc. 2013 Nov 16;2013:560-9. eCollection 2013.

17.

Large-scale evaluation of automated clinical note de-identification and its impact on information extraction.

Deleger L, Molnar K, Savova G, Xia F, Lingren T, Li Q, Marsolo K, Jegga A, Kaiser M, Stoutenborough L, Solti I.

J Am Med Inform Assoc. 2013 Jan 1;20(1):84-94. doi: 10.1136/amiajnl-2012-001012. Epub 2012 Aug 2.

18.

De-identification of Address, Date, and Alphanumeric Identifiers in Narrative Clinical Reports.

Kayaalp M, Browne AC, Dodd ZA, Sagan P, McDonald CJ.

AMIA Annu Symp Proc. 2014 Nov 14;2014:767-76. eCollection 2014.

19.

Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track 1.

Stubbs A, Kotfila C, Uzuner Ö.

J Biomed Inform. 2015 Dec;58 Suppl:S11-9. doi: 10.1016/j.jbi.2015.06.007. Epub 2015 Jul 28. Review.

20.

Preparing an annotated gold standard corpus to share with extramural investigators for de-identification research.

Deleger L, Lingren T, Ni Y, Kaiser M, Stoutenborough L, Marsolo K, Kouril M, Molnar K, Solti I.

J Biomed Inform. 2014 Aug;50:173-83. doi: 10.1016/j.jbi.2014.01.014. Epub 2014 Feb 17.

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