Connection

Stephane Meystre to United States

This is a "connection" page, showing publications Stephane Meystre has written about United States.
Connection Strength

0.298
  1. Text de-identification for privacy protection: a study of its impact on clinical text information content. J Biomed Inform. 2014 Aug; 50:142-50.
    View in: PubMed
    Score: 0.048
  2. Generalizability and comparison of automatic clinical text de-identification methods and resources. AMIA Annu Symp Proc. 2012; 2012:199-208.
    View in: PubMed
    Score: 0.044
  3. 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.
    View in: PubMed
    Score: 0.044
  4. Evaluating current automatic de-identification methods with Veteran's health administration clinical documents. BMC Med Res Methodol. 2012 Jul 27; 12:109.
    View in: PubMed
    Score: 0.043
  5. 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.
    View in: PubMed
    Score: 0.038
  6. The current state of telemonitoring: a comment on the literature. Telemed J E Health. 2005 Feb; 11(1):63-9.
    View in: PubMed
    Score: 0.026
  7. Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J Am Med Inform Assoc. 2022 03 15; 29(4):609-618.
    View in: PubMed
    Score: 0.021
  8. Evaluation of PHI Hunter in Natural Language Processing Research. Perspect Health Inf Manag. 2015; 12:1f.
    View in: PubMed
    Score: 0.013
  9. Evaluating the effects of machine pre-annotation and an interactive annotation interface on manual de-identification of clinical text. J Biomed Inform. 2014 Aug; 50:162-72.
    View in: PubMed
    Score: 0.012
  10. 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.
    View in: PubMed
    Score: 0.009
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.