Comparison of machine learning methods to predict urinary incontinence in localized prostate cancer

被引：0
|
作者：
Hasannejadasl, H. [1 ]
van de Poel, H. [2 ]
Vanneste, B. [3 ]
van Roermund, J. [4 ]
Aben, K. [5 ,6 ]
Zheng, Z. [1 ]
Osong, B. [1 ]
Kiemeney, L. [5 ]
Van Oort, I. [7 ]
Verwey, R. [8 ]
Hochstenbach, L. [8 ]
Bloemen, E. [8 ]
Dekker, A. [1 ]
Fijten, R. [1 ]
机构：
[1] Maastricht Univ, Dept Radiat Oncol Maastro, Med Ctr, Maastricht, Netherlands
[2] Univ Amsterdam, Dept Urol, Med Ctr, Amsterdam, Netherlands
[3] Maastricht Univ, Dept Radiat Oncol Maastro, Med Ctr, Maastricht, Netherlands
[4] Maastricht Univ, Dept Urol, Med Ctr, Maastricht, Netherlands
[5] Netherlands Comprehens Canc Org, Dept Res & Dev, Utrecht, Netherlands
[6] Radboud Univ Nijmegen, Radboud Inst Hlth Sci, Med Ctr, Nijmegen, Netherlands
[7] Radboud Univ Nijmegen, Dept Urol, Med Ctr, Nijmegen, Netherlands
[8] Zuyd Univ, Dept Appl Sci, Heerlen, Netherlands
来源：
RADIOTHERAPY AND ONCOLOGY | 2023年 / 182卷
关键词：
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
PO-1523
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页码：S1238 / S1239
页数：2
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