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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

AuthID
P-00S-54Q

Author(s)

Bhandari, M

Nallabasannagari, AR

Reddiboina, M

Porter, JR

Jeong, W

Mottrie, A

Dasgupta, P

Challacombe, B

Abaza, R

Rha, KH

[+6]·

Buffi, NM

Sivaraman, A

Maes, KK

Porpiglia, F

Gautam, G

Turkeri, L

Meyyazhgan, KR

Patil, P

Menon, M

Rogers, C

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Document Type

Article

Year published

2020

Published

in BJU INTERNATIONAL, ISSN: 1464-4096

Volume: 126, Issue: 3, Pages: 350-358 (9)

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Publication Identifiers

DOI: 10.1111/bju.15087

Pubmed: 32315504

SCOPUS: 2-s2.0-85084839276

Wos: WOS:000533406800001

Source Identifiers

ISSN: 1464-4096

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All authors

Name Order	Name	Name Order	Name	Name Order	Name
1	Bhandari, M;	2	Nallabasannagari, AR;	3	Reddiboina, M;
4	Porter, JR;	5	Jeong, W;	6	Mottrie, A;
7	Dasgupta, P;	8	Challacombe, B;	9	Abaza, R;
10	Rha, KH;	11	Parekh, DJ;	12	Ahlawat, R;
13	Capitanio, U;	14	Yuvaraja, TB;	15	Rawal, S;
16	Moon, DA;	17	Buffi, NM;	18	Sivaraman, A;
19	Maes, KK;	20	Porpiglia, F;	21	Gautam, G;
22	Turkeri, L;	23	Meyyazhgan, KR;	24	Patil, P;
25	Menon, M;	26	Rogers, C;

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

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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

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