Development and external validation of a machine learning model for brain injury in pediatric patients on extracorporeal membrane oxygenation
The Random Forest model based on machine learning demonstrates high accuracy and robustness in predicting brain injury in pediatric patients supported by ECMO, with strong generalization capabilities and promising clinical applicability.
Authors
- Ruixi Zhou (ORCID: https://orcid.org/0000-0002-4409-1595)
- Xiaoyang Hong (ORCID: https://orcid.org/0000-0003-0918-6617)
- Tao Xiong (ORCID: https://orcid.org/0000-0002-0408-1288)
- Qiuping Li (ORCID: https://orcid.org/0000-0002-9607-026X)
- Tiechao Ruan (ORCID: https://orcid.org/0000-0002-2924-0230)
- Dezhi Mu (ORCID: https://orcid.org/0000-0002-2599-7041)
- Junjie Ying (ORCID: https://orcid.org/0000-0002-0482-6796)
- Change Liu
- Zhongtao Du (ORCID: https://orcid.org/0009-0003-9101-5346)
- Zhe Zhao (ORCID: https://orcid.org/0000-0003-1338-5264)
- Wenzhe Cheng
- Chenglong Li (ORCID: https://orcid.org/0000-0003-3043-7230)
- Feng Wang (ORCID: https://orcid.org/0000-0002-7799-2103)
- Jie Wang (ORCID: https://orcid.org/0000-0002-5602-0487)
- Xiaohong Li (ORCID: https://orcid.org/0000-0003-0336-7302)
- Wenting Lu
- Xiaotong Hou (ORCID: https://orcid.org/0000-0001-8976-4936)
- Bixin Deng (ORCID: https://orcid.org/0009-0003-2546-9390)
- Haixiu Xie
Institutions
- Capital Medical University (CN)
- Sichuan University (CN)
- Chinese PLA General Hospital (CN)
- Zhengzhou University (CN)
- West China Second University Hospital of Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Zhengzhou Children's Hospital (CN)
- Beijing Anzhen Hospital (CN)
Publication Details
- Journal
- Critical Care
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1186/s13054-024-05248-9
- Citations
- 5
- Primary Topic
- Mechanical Circulatory Support Devices
- Type
- article
- Field-Weighted Citation Impact
- 3.37
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China