Mortality Prediction in Severe Traumatic Brain Injury Using Traditional and Machine Learning Algorithms-Reference-Cited by-同舟云学术

Mortality Prediction in Severe Traumatic Brain Injury Using Traditional and Machine Learning Algorithms

Published:2023-07-01 Issue:13-14 Volume:40 Page:1366-1375
ISSN:0897-7151
Container-title:Journal of Neurotrauma
language:en
Short-container-title:Journal of Neurotrauma

Author:

Wu Xiang¹,Sun Yuyao²,Xu Xiao²,Steyerberg Ewout W.³⁴,Helmrich Isabel R.A. Retel³,Lecky Fiona⁵,Guo Jianying²,Li Xiang²,Feng Junfeng⁶⁷,Mao Qing⁶⁷,Xie Guotong²⁸⁹,Maas Andrew I.R.¹⁰¹¹,Gao Guoyi¹⁶,Jiang Jiyao⁶⁷,

Affiliation:

1. Department of Neurosurgery, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

2. Ping An Healthcare Technology, Beijing, China.

3. Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.

4. Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.

5. Centre for Urgent and emergency care Research (CURE), Health Services Research Section, School of Health and Related Research (ScHARR), University of Sheffield, Sheffield, United Kingdom.

6. Shanghai Institute of Head Trauma, Shanghai, China.

7. Brain Injury Center, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

8. Ping An Health Cloud Company Ltd., Beijing, China.

9. Ping An International Smart City Technology Co., Ltd., Beijing, China.

10. Department of Neurosurgery, Antwerp University Hospital, Edegem, Belgium.

11. University of Antwerp, Edegem, Belgium.

Publisher

Mary Ann Liebert Inc

Subject

Neurology (clinical)

Link

https://www.liebertpub.com/doi/pdf/10.1089/neu.2022.0221