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