Development and validation of an interpretable machine learning model to predict malignant cerebral edema after endovascular treatment in acute anterior circulation large vessel occlusion stroke
This study developed and externally validated an interpretable machine learning model to predict the risk of MCE in patients with acute anterior circulation LVO stroke following EVT.
Authors
- Feifeng Liu (ORCID: https://orcid.org/0000-0003-4683-6973)
- Chen Chen (ORCID: https://orcid.org/0000-0002-9810-3619)
- Tianrui Zhu
- Hao Shen
- Hu H
- Gang Li
- Zhiwei Dong
- Yue Zhang
- Zhengyu Huang
- Yanan Wang
- Chenxin Jiang
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
- Shanghai East Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-01-02
- DOI
- https://doi.org/10.3389/fneur.2025.1694030
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanghai Municipal Health Commission