Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke

doi:10.1161/STROKEAHA.120.030092

Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke

科研成果: 期刊稿件 › 文章 › 同行评审

源语言	英语
页（从-至）	223-231
页数	9
期刊	Stroke
卷	52
期	1
DOI	https://doi.org/10.1161/STROKEAHA.120.030092
出版状态	已出版 - 1月 1 2021
已对外发布	是

!!!ASJC Scopus Subject Areas

临床神经病学
心脏病学与心血管医学
高级和专业护理

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10.1161/STROKEAHA.120.030092

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title = "Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke",

keywords = "acute ischemic stroke, computed tomographic perfusion, infarction, machine learning",

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KW - computed tomographic perfusion

KW - infarction

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Computed Tomography Perfusion-Based Machine Learning Model Better Predicts Follow-Up Infarction in Patients With Acute Ischemic Stroke

!!!ASJC Scopus Subject Areas

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