Predicting 1-Hour Thrombolysis Effect of r-tPA in Patients With Acute Ischemic Stroke Using Machine Learning Algorithm

Background: Thrombolysis with r-tPA is recommended for patients after acute ischemic stroke (AIS) within 4.5 h of symptom onset. However, only a few patients benefit from this therapeutic regimen. Thus, we aimed to develop an interpretable machine learning (ML)–based model to predict the thrombolysi...

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Detalles Bibliográficos
Autores principales: Zhu, Bin, Zhao, Jianlei, Cao, Mingnan, Du, Wanliang, Yang, Liuqing, Su, Mingliang, Tian, Yue, Wu, Mingfen, Wu, Tingxi, Wang, Manxia, Zhao, Xingquan, Zhao, Zhigang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Pharmacology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762247/
https://www.ncbi.nlm.nih.gov/pubmed/35046804
http://dx.doi.org/10.3389/fphar.2021.759782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762247/
https://www.ncbi.nlm.nih.gov/pubmed/35046804
http://dx.doi.org/10.3389/fphar.2021.759782

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