Development of a machine-learning based model for predicting multidimensional outcome after surgery for degenerative disorders of the spine

被引：0
作者：
D. Müller
D. Haschtmann
T. F. Fekete
F. Kleinstück
R. Reitmeir
M. Loibl
D. O’Riordan
F. Porchet
D. Jeszenszky
A. F. Mannion
机构：
[1] Medcontrol AG,Spine Center Division, Department of Teaching, Research and Development
[2] Schulthess Klinik,Department Spine Surgery and Neurosurgery
[3] Schulthess Klinik,undefined
来源：
European Spine Journal | 2022年 / 31卷
关键词：
Multidimensional patient outcomes; Predictor model; Lumbar; Cervical; Machine learning; Online tool;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：2125 / 2136
页数：11
相关论文
共 357 条
[51]  
Wang SJ(undefined)undefined undefined undefined undefined-undefined
[52]  
Jiang SD(undefined)undefined undefined undefined undefined-undefined
[53]  
Jiang LS(undefined)undefined undefined undefined undefined-undefined
[54]  
Dai LY(undefined)undefined undefined undefined undefined-undefined
[55]  
Block AR(undefined)undefined undefined undefined undefined-undefined
[56]  
Ohnmeiss DD(undefined)undefined undefined undefined undefined-undefined
[57]  
Guyer RD(undefined)undefined undefined undefined undefined-undefined
[58]  
Rashbaum RF(undefined)undefined undefined undefined undefined-undefined
[59]  
Hochschuler SH(undefined)undefined undefined undefined undefined-undefined
[60]  
Marek RJ(undefined)undefined undefined undefined undefined-undefined
12345678910