Personalized application of machine learning algorithms to identify pediatric patients at risk for recurrent ureteropelvic junction obstruction after dismembered pyeloplasty.

Abstract

Authors

• Erik Drysdale
  The Hospital for Sick Children, Toronto, Canada.
• Adree Khondker
  Division of Urology, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
• Jin K Kim
  Division of Urology, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
• Jethro C C Kwong
  Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
• Lauren Erdman
  Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, Ontario, Canada.
• Michael Chua
  Department of Surgery, Division of Urology, Hospital for Sick Children, University of Toronto, Canada.
• Daniel T Keefe
  Division of Urology, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
• Marisol Lolas
  Division of Urology, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
• Joana Dos Santos
  Division of Urology, The Hospital for Sick Children, 555 University Avenue, Toronto, ON, M5G 1X8, Canada.
• Gregory Tasian
  Division of Urology, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
• Mandy Rickard
  Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.
• Armando J Lorenzo
  Department of Surgery, The Hospital for Sick Children, Toronto, Ontario, Canada.

Keywords

External Resources