Comparison of logistic regression and machine learning methods for predicting early neurological deterioration after thrombolysis in patients with mild stroke
We explored the risk factors influencing the occurrence of early neurologic deterioration after thrombolysis in patients with mild stroke. We also found that logistic regression model and machine learning model demonstrated comparable performance in this single-center retrospective dataset.
Authors
- Jin Li (ORCID: https://orcid.org/0000-0002-6131-456X)
- Dongjuan Xu
- Meiyun Zhang
- Chen Lou
Institutions
- Wenzhou Medical University (CN)
- Dongyang People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2026-03-04
- DOI
- https://doi.org/10.3389/fneur.2026.1703890
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00