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...

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Detalles Bibliográficos
Autores principales: Shao, Huiling, Chen, Xiangyan, Ma, Qilin, Shao, Zhiyu, Du, Heng, Chan, Lawrence Wing Chi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neurology
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

Internet

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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