Predicting long-term outcomes in intracerebral hemorrhage: a comparative study of machine learning models highlights the prognostic value of hematoma clearance.
- DOI
- 10.3389/fneur.2026.1828200
- Published
- 2026
- Container
- Frontiers in neurology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fneur.2026.1828200,
title = {Predicting long-term outcomes in intracerebral hemorrhage: a comparative study of machine learning models highlights the prognostic value of hematoma clearance.},
author = {Zhang C and Jiang Y and Lin J and Ge S and Zhang Z and Yuan L and Sun H},
year = {2026},
journal = {Frontiers in neurology},
doi = {10.3389/fneur.2026.1828200},
url = {https://doi.org/10.3389/fneur.2026.1828200}
}RIS
TY - JOUR TI - Predicting long-term outcomes in intracerebral hemorrhage: a comparative study of machine learning models highlights the prognostic value of hematoma clearance. AU - Zhang C AU - Jiang Y AU - Lin J AU - Ge S AU - Zhang Z AU - Yuan L AU - Sun H PY - 2026 JO - Frontiers in neurology DO - 10.3389/fneur.2026.1828200 UR - https://doi.org/10.3389/fneur.2026.1828200 ER -
APA
C, Z., Y, J., J, L., S, G., Z, Z., L, Y., & H, S. (2026). Predicting long-term outcomes in intracerebral hemorrhage: a comparative study of machine learning models highlights the prognostic value of hematoma clearance.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1828200
Source records
- pubmed · retrieved 2026-09-26T08:15:20.503Z