Machine learning-based predictive model for the development of thrombolysis resistance in patients with acute ischemic stroke
Machine learning methods with multiple clinical variables can help in early screening of patients at high risk of thrombolysis resistance, particularly in contexts where healthcare resources are limited.
Authors
- Hongdang Qu
- Yujie Zhao (ORCID: https://orcid.org/0000-0002-4585-1445)
- Song Luo (ORCID: https://orcid.org/0000-0002-9962-976X)
- Xue Cui
- Qirong Liao
- Xiaorui Wang (ORCID: https://orcid.org/0009-0003-6675-5094)
Institutions
- First Affiliated Hospital of Bengbu Medical College (CN)
Publication Details
- Journal
- BMC Neurology
- Published
- 2024-08-26
- DOI
- https://doi.org/10.1186/s12883-024-03781-2
- Citations
- 5
- Primary Topic
- Acute Ischemic Stroke Management
- Type
- article
- Field-Weighted Citation Impact
- 1.93