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应用机器学习模型来识别COVID-19严重程度和结果的血清学预测因素

Sabra Klein1, Santosh Dhakal1, Anna Yin1

  • 1Johns Hopkins Bloomberg School of Public Health.

Research square
|November 28, 2023
PubMed
概括

COVID-19患者的抗体反应预测了输管或死亡. 在入学1个月后,较高的IgG结合和ACE2抑制,以及在入学时较低的C1q补充活性,与更好的结果有关.

关键词:
在COVID-19死亡中死亡住院治疗COVID-19的情况的IgG同型.自动化情报自动化情报中和抗体的抗体中和.没有中和抗体的抗体.随机森林模型随机森林模型

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In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
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