Can machine learning complement traditional medical device surveillance? A case study of dual-chamber implantable cardioverter–defibrillators

Lignende værker

• Quantifying the utilization of medical devices necessary to detect postmarket safety differences: A case study of implantable cardioverter defibrillators
  af: Bates, Jonathan, et al.
  Udgivet: (2018)
• Attribution of Adverse Events Following Coronary Stent Placement Identified Using Administrative Claims Data
  af: Dhruva, Sanket S., et al.
  Udgivet: (2020)
• Variation in Use of Dual-Chamber Implantable Cardioverter-Defibrillators: Results From the National Cardiovascular Data Registry
  af: Matlock, Dan D., et al.
  Udgivet: (2012)
• Association of Physician Specialty With Long-Term Implantable Cardioverter-Defibrillator Complication and Reoperations Rates: Insights From the NCDR Implantable Cardioverter-Defibrillator Registry
  af: Chui, Philip W., et al.
  Udgivet: (2019)
• Use and Outcomes of Dual Chamber or Cardiac Resynchronization Therapy Defibrillators Among Older Patients Requiring Ventricular Pacing in the National Cardiovascular Data Registry Implantable Cardioverter Defibrillator Registry
  af: Borne, Ryan T., et al.
  Udgivet: (2021)