Predicting Long-Term Outcome of Prolonged Disorder of Consciousness in Children Through Machine Learning Based on Conventional Structural Magnetic Resonance Imaging
A csMRI-based prediction model for the prognosis of children with pDoC was developed, showing potential to predict recovery of consciousness 1 year after brain injury and is worth popularizing in clinical practice.
Authors
- Jinhua Cai (ORCID: https://orcid.org/0000-0001-9619-1670)
- Longlun Wang (ORCID: https://orcid.org/0000-0002-4803-7158)
- Tingsong Li (ORCID: https://orcid.org/0000-0003-4536-3211)
- Ningning Chen (ORCID: https://orcid.org/0000-0002-4576-2311)
- Helin Zheng (ORCID: https://orcid.org/0000-0003-0224-4941)
- Lu Tian (ORCID: https://orcid.org/0000-0001-9877-3041)
- Zhongxin Huang
- Shuang Ding (ORCID: https://orcid.org/0000-0003-0041-3879)
- Hao Li (ORCID: https://orcid.org/0009-0003-5051-0738)
Institutions
- Children's Hospital of Chongqing Medical University (CN)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Neurorehabilitation and neural repair
- Published
- 2024-09-28
- DOI
- https://doi.org/10.1177/15459683241287187
- Citations
- 1
- Primary Topic
- Traumatic Brain Injury Research
- Type
- article
- Field-Weighted Citation Impact
- 0.39