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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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谵妄预测模型前期工作相关材料

谵妄预测模型前期工作相关材料

Abstract

文档展示研究者前期工作情况: 1.原始数据: 按照纳入和排除条件筛选出应用于谵妄机器学习模型建模的患者原始数据。文件中的数据量占总数据的66%。 2.多重插补数据:对原始数据中缺失值变量按照不同算法建模集成学习后插补的最终数据。文件中的数据量占总数据的66%。 3.前期工作基础补充材料:文件中包含6个部分,包括: 1). 用于建模的患者临床信息表, 2). 患者基线表, 3). 数据中缺失值汇总表, 4). 患者既往史汇总表, 5). 患者评估前接收的医疗干预汇总表, 6). 前期建模的模型特征变量重要性排序表。

Keywords

预测模型, 危重患者, 谵妄, 机器学习

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download
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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8