Identifying Modifiable Predictors of Patient Outcomes After Intracerebral Hemorrhage with Machine Learning

被引:0
作者
Andrew N. Hall
Bradley Weaver
Eric Liotta
Matthew B. Maas
Roland Faigle
Daniel K. Mroczek
Andrew M. Naidech
机构
[1] Northwestern University,Department of Psychology, Weinberg College of Arts and Sciences
[2] Northwestern University Chicago,Institute for Public Health and Medicine
[3] Northwestern University,Department of Medical Social Sciences, Feinberg School of Medicine
[4] Johns Hopkins University School of Medicine,Department of Neurology
来源
Neurocritical Care | 2021年 / 34卷
关键词
Cerebral hemorrhage; Machine learning; Stroke;
D O I
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学科分类号
摘要
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页码:73 / 84
页数:11
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