European Urology Open Science (Jul 2020)
Predicting intraoperative complications and 30-days morbidity using machine learning techniques for patients undergoing robotic partial nephrectomy (RPN)
- M. Bhandari,
- A.R. Nallabasannagari,
- M. Reddiboina,
- J. Porter,
- W. Jeong,
- A. Mottrie,
- P. Dasgupta,
- B. Challacombe,
- R. Abaza,
- K.H. Rha,
- D. Parekh,
- R. Ahlawat,
- U. Capitanio,
- T. Yuvaraja,
- S. Rawal,
- D. Moon,
- N. Buffi’s,
- A. Sivaraman,
- K. Maes,
- F. Porpiglia,
- G. Gautam,
- L. Turkeri,
- P. Preethi,
- M. Menon,
- C. Rogers
Affiliations
- M. Bhandari
- A.R. Nallabasannagari
- M. Reddiboina
- J. Porter
- W. Jeong
- A. Mottrie
- P. Dasgupta
- B. Challacombe
- R. Abaza
- K.H. Rha
- D. Parekh
- R. Ahlawat
- U. Capitanio
- T. Yuvaraja
- S. Rawal
- D. Moon
- N. Buffi’s
- A. Sivaraman
- K. Maes
- F. Porpiglia
- G. Gautam
- L. Turkeri
- P. Preethi
- M. Menon
- C. Rogers
- Journal volume & issue
-
Vol. 19
pp. e1969 – e1970