Using support vector machines (SVMs) to predict adverse outcomes in spinal SBRT

被引：0
|
作者：
Bodnar, Bohdan [1 ,2 ,3 ,4 ]
Rubarth, Kerstin [1 ,2 ,3 ,5 ,6 ]
Kalinauskaite, Goda [1 ,2 ,3 ,4 ]
Nachbar, Marcel [1 ,2 ,3 ,4 ]
Kaul, David [1 ,2 ,3 ,4 ]
Vajkoczy, Peter [1 ,2 ,3 ,7 ]
Zips, Daniel [1 ,2 ,3 ,4 ]
Acker, Gueliz [1 ,2 ,3 ,4 ,7 ,8 ]
Senger, Carolin [1 ,2 ,3 ,4 ]
机构：
[1] Charite Univ Med Berlin, Berlin, Germany
[2] Free Univ Berlin, Berlin, Germany
[3] Humboldt Univ, Berlin, Germany
[4] Berlin Inst Hlth, Dept Radiat Oncol & Radiotherapy, Berlin, Germany
[5] Berlin Inst Hlth, Inst Biometry & Clin Epidemiol, Berlin, Germany
[6] Berlin Inst Hlth, Inst Med Informat, Berlin, Germany
[7] Berlin Inst Hlth, Dept Neurosurg, Berlin, Germany
[8] Charite Univ Med Berlin, Berlin Inst Hlth, BIH Acad, Clinician Scientist Program, Berlin, Germany
来源：
RADIOTHERAPY AND ONCOLOGY | 2024年 / 194卷
关键词：
SBRT; Spine; Support Vector Machine;
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
1251
引用
收藏
页码：S4458 / S4460
页数：4
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