M. Bhandari Et Al. , "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.," BJU international , vol.126, pp.350-358, 2020
Bhandari, M. Et Al. 2020. 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.. BJU international , vol.126 , 350-358.
Bhandari, M., Nallabasannagari, A. R., Reddiboina, M., Porter, J. R., Jeong, W., Mottrie, A., ... Dasgupta, P.(2020). 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.. BJU international , vol.126, 350-358.
Bhandari, Mahendra Et Al. "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.," BJU international , vol.126, 350-358, 2020
Bhandari, Mahendra Et Al. "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.." BJU international , vol.126, pp.350-358, 2020
Bhandari, M. Et Al. (2020) . "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.." BJU international , vol.126, pp.350-358.
@article{article, author={Mahendra Bhandari Et Al. }, title={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.}, journal={BJU international}, year=2020, pages={350-358} }