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

页码：S4458 / S4460

页数：4

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