Stephane Meystre to Confidentiality
This is a "connection" page, showing publications Stephane Meystre has written about Confidentiality.
Connection Strength
2.308
-
Can physicians recognize their own patients in de-identified notes? Stud Health Technol Inform. 2014; 205:778-82.
Score: 0.466
-
Generalizability and comparison of automatic clinical text de-identification methods and resources. AMIA Annu Symp Proc. 2012; 2012:199-208.
Score: 0.430
-
BoB, a best-of-breed automated text de-identification system for VHA clinical documents. J Am Med Inform Assoc. 2013 Jan 01; 20(1):77-83.
Score: 0.425
-
Automatic de-identification of textual documents in the electronic health record: a review of recent research. BMC Med Res Methodol. 2010 Aug 02; 10:70.
Score: 0.367
-
Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. Stud Health Technol Inform. 2019 Aug 21; 264:283-287.
Score: 0.172
-
Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes. J Biomed Inform. 2015 Dec; 58 Suppl:S128-S132.
Score: 0.131
-
Evaluation of PHI Hunter in Natural Language Processing Research. Perspect Health Inf Manag. 2015; 12:1f.
Score: 0.125
-
Evaluating current automatic de-identification methods with Veteran's health administration clinical documents. BMC Med Res Methodol. 2012 Jul 27; 12:109.
Score: 0.105
-
Inductive creation of an annotation schema and a reference standard for de-identification of VA electronic clinical notes. AMIA Annu Symp Proc. 2009 Nov 14; 2009:416-20.
Score: 0.087