Combining Knowledge- and Data-driven Methods for De-identification of Clinical Narratives

Lignende værker

• Learning to identify protected health information by integrating knowledge- and data-driven algorithms: a case study on psychiatric evaluation notes
  af: Dehghan, Azad, et al.
  Udgivet: (2017)
• Combining rules and machine learning for extraction of temporal expressions and events from clinical narratives
  af: Kovačević, Aleksandar, et al.
  Udgivet: (2013)
• Using Local Lexicalized Rules to Identify Heart Disease Risk Factors in Clinical Notes
  af: Karystianis, George, et al.
  Udgivet: (2015)
• Topic Categorisation of Statements in Suicide Notes with Integrated Rules and Machine Learning
  af: Kovačević, Aleksandar, et al.
  Udgivet: (2012)
• A rule-based approach to identify patient eligibility criteria for clinical trials from narrative longitudinal records
  af: Karystianis, George, et al.
  Udgivet: (2019)