An interpretable machine learning model for predicting prognosis in acute ischemic stroke with large vessel occlusion
- DOI
- 10.3389/fneur.2026.1842324
- Published
- 2026-09-09
- Container
- Frontiers in Neurology
- Publisher
- Frontiers Media SA
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2026.1842324,
title = {An interpretable machine learning model for predicting prognosis in acute ischemic stroke with large vessel occlusion},
author = {Meng Li and Jia Wei and Guangshun Lu and Hongjuan Zhao and Li Meng and Haihua Bao},
year = {2026},
journal = {Frontiers in Neurology},
doi = {10.3389/fneur.2026.1842324},
url = {https://doi.org/10.3389/fneur.2026.1842324}
}RIS
TY - JOUR TI - An interpretable machine learning model for predicting prognosis in acute ischemic stroke with large vessel occlusion AU - Meng Li AU - Jia Wei AU - Guangshun Lu AU - Hongjuan Zhao AU - Li Meng AU - Haihua Bao PY - 2026 JO - Frontiers in Neurology DO - 10.3389/fneur.2026.1842324 UR - https://doi.org/10.3389/fneur.2026.1842324 ER -
APA
Li, M., Wei, J., Lu, G., Zhao, H., Meng, L., & Bao, H. (2026). An interpretable machine learning model for predicting prognosis in acute ischemic stroke with large vessel occlusion. Frontiers in Neurology. https://doi.org/10.3389/fneur.2026.1842324
Source records
- crossref · retrieved 2026-09-25T11:35:52.979Z