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New machine learning model predicts who may benefit most from COVID-19 vaccination.

作者信息

Wedlund Leia, Kvedar Joseph

机构信息

Harvard Medical School, Boston, MA, USA.

Mass General Brigham, Boston, MA, USA.

出版信息

NPJ Digit Med. 2021 Mar 26;4(1):59. doi: 10.1038/s41746-021-00425-4.

DOI:10.1038/s41746-021-00425-4
PMID:33772087
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7997995/
Abstract
摘要

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本文引用的文献

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Predicting COVID-19 mortality with electronic medical records.利用电子病历预测新冠肺炎死亡率。
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2
Comparing Rapid Scoring Systems in Mortality Prediction of Critically Ill Patients With Novel Coronavirus Disease.比较新型冠状病毒疾病危重症患者死亡率预测的快速评分系统。
Acad Emerg Med. 2020 Jun;27(6):461-468. doi: 10.1111/acem.13992. Epub 2020 May 21.
3
A Tool for Early Prediction of Severe Coronavirus Disease 2019 (COVID-19): A Multicenter Study Using the Risk Nomogram in Wuhan and Guangdong, China.一种用于早期预测严重 2019 冠状病毒病(COVID-19)的工具:来自中国武汉和广东的多中心研究使用风险列线图。
Clin Infect Dis. 2020 Jul 28;71(15):833-840. doi: 10.1093/cid/ciaa443.