Journal article

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

Mahendra Bhandari, Anubhav Reddy Nallabasannagari, Madhu Reddiboina, James R Porter, Wooju Jeong, Alexandre Mottrie, Prokar Dasgupta, Ben Challacombe, Ronney Abaza, Koon Ho Rha, Dipen J Parekh, Rajesh Ahlawat, Umberto Capitanio, Thyavihally B Yuvaraja, Sudhir Rawal, Daniel A Moon, Nicolo M Buffi, Ananthakrishnan Sivaraman, Kris K Maes, Francesco Porpiglia Show all

BJU International | WILEY | Published : 2020


Funding Acknowledgements

We gratefully acknowledge discussions and comments on the manuscript by our colleague Trevor Zeffiro. We are grateful to the Vattikuti Foundation for granting access to the VCQI database and RediMinds for funding this work. This publication only reflects the authors views. The funding agency is not liable for any use that may be made of the information contained herein.