Browsing by Subject "de-identification"

Now showing items 1-2 of 2

    • Dynamic de-identification policies for pandemic data sharing 
      Brown, James Thomas; 0000-0001-9252-2559 (2022-07-18)
      Department: Biomedical Informatics
      Supporting public health research in identifying disease disparities and developing targeted interventions, as well as enabling the public’s situational awareness during a pandemic, requires regular dissemination of ...
    • Scalable Natural Language De-identification based on Machine Learning Approaches 
      Li, Muqun (2018-03-27)
      Department: Computer Science
      Electronic medical record (EMR) systems have been progressively adopted in numerous aspects of clinical care and healthcare endeavors. As the quantity and diversity of such data grows, so too has its repurposing to support ...