Predicting intra-operative and postoperative consequential events using machine-learning techniques in patients undergoing robot-assisted partial nephrectomy: a Vattikuti Collective Quality Initiative database study.


Bhandari M., Nallabasannagari A. R. , Reddiboina M., Porter J. R. , Jeong W., Mottrie A., ...Daha Fazla

BJU international, cilt.126, ss.350-358, 2020 (SCI Expanded İndekslerine Giren Dergi) identifier identifier identifier

  • Cilt numarası: 126
  • Basım Tarihi: 2020
  • Doi Numarası: 10.1111/bju.15087
  • Dergi Adı: BJU international
  • Sayfa Sayıları: ss.350-358

Özet

Objective To predict intra-operative (IOEs) and postoperative events (POEs) consequential to the derailment of the ideal clinical course of patient recovery.