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The feasibility and accuracy of machine learning in improving safety and efficiency of thrombolysis for patients with stroke: Literature review and proposed improvements
In the treatment of ischemic stroke, timely and efficient recanalization of occluded brain arteries can successfully salvage the ischemic brain. Thrombolysis is the first-line treatment for ischemic stroke. Machine learning models have the potential to select patients who could benefit the most from...
Autores principales: | Shao, Huiling, Chen, Xiangyan, Ma, Qilin, Shao, Zhiyu, Du, Heng, Chan, Lawrence Wing Chi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9630915/ https://www.ncbi.nlm.nih.gov/pubmed/36341121 http://dx.doi.org/10.3389/fneur.2022.934929 |
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