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In an effort to better serve our users, we have streamlined our content offering. As a result, we no longer publish new content or update existing content in Urology. Visit the 'Content & Subscriptions' tab of your Settings page at any time to update your Dashboard or Newsletter Subscription preferences to continue to see news and information that interests you most.

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Published in Urology

Journal Scan / Research · October 14, 2020

Predicting Intraoperative and Postoperative Consequential Events in Patients Undergoing Robot-Assisted Partial Nephrectomy

BJU International

 

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Disclosure statements are available on the authors' profiles:

Michael Johnson MD

BJU International
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 Int 2020 Sep 01;126(3)350-358, M Bhandari, AR Nallabasannagari, M Reddiboina, JR Porter, W Jeong, A Mottrie, P Dasgupta, B Challacombe, R Abaza, KH Rha, DJ Parekh, R Ahlawat, U Capitanio, TB Yuvaraja, S Rawal, DA Moon, NM Buffi, A Sivaraman, KK Maes, F Porpiglia, G Gautam, L Turkeri, KR Meyyazhgan, P Patil, M Menon, C Rogers

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

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