Development of an individual postoperative prediction model for kidney cancer recurrence using machine learning (UroCCR study 120)

被引：0

作者：

Margue, G. ^{[1
,2
]}

Ferrer, L. ^{[2
]}

Etchepare, G.

Bensalah, K. ^{[3
]}

Mejean, A. ^{[4
]}

Roupret, M. ^{[5
]}

Doumerc, N. ^{[6
]}

Ingels, A. ^{[7
]}

Boissier, R. ^{[8
]}

Pignot, G. ^{[9
]}

Parier, B. ^{[10
]}

Paparel, P. ^{[11
]}

Waeckel, T. ^{[12
]}

Bigot, P. ^{[13
]}

Colin, T. ^{[2
]}

Bernhard, J. C. ^{[1
]}

机构：

[1] Bordeaux Univ Hosp, Dept Urol, Bordeaux, France

[2] Sophia Genet, Multimodal Res Team, Pessac, France

[3] Rennes Univ Hosp, Dept Urol, Rennes, France

[4] HEGP, APHP, Dept Urol, Paris, France

[5] La Pitie APHP, Dept Urol, Paris, France

[6] Toulouse Univ Hosp, Dept Urol, Toulouse, France

[7] Mondor APHP, Dept Urol, Paris, France

[8] APHM, Dept Urol, Marseille, France

[9] IPC, Dept Urol, Marseille, France

[10] Kremlin Bicetre, APHP, Dept Urol, Paris, France

[11] HCL, Dept Urol, Lyon, France

[12] Cean Univ Hosp, Dept Urol, Caen, France

[13] Angers Univ Hosp, Dept Urol, Angers, France

来源：

EUROPEAN UROLOGY | 2023年 / 83卷

关键词：

D O I：

暂无

中图分类号：

R5 [内科学]; R69 [泌尿科学（泌尿生殖系疾病）];

学科分类号：

1002 ; 100201 ;

摘要：

A0473

引用

页码：S674 / S675

页数：2

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