Survival Analysis Using Surgeon Skill Metrics and Patient Factors to Predict Urinary Continence Recovery After Robot-assisted Radical Prostatectomy.

Abstract

Authors

• Loc Trinh
  Computer Science Department, University of Southern California, Los Angeles, CA, U.S.A.
• Samuel Mingo
  Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
• Erik B Vanstrum
  3Department of Head and Neck Surgery, David Geffen School of Medicine at the University of California, Los Angeles.
• Daniel I Sanford
  Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA, USA.
• Aastha
  University of Southern California, Los Angeles, California, USA.
• Runzhuo Ma
  Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, California, USA.
• Jessica H Nguyen
  Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, USC Institute of Urology, University of Southern California, Los Angeles, CA.
• Yan Liu
  Department of Clinical Microbiology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, 200072, People's Republic of China.
• Andrew J Hung
  Center for Robotic Simulation & Education, Catherine & Joseph Aresty Department of Urology, University of Southern California Institute of Urology, Los Angeles, California. Electronic address: Andrew.Hung@med.usc.edu.

Keywords

External Resources