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使用机器学习来有效预测SARS-COV-2的特征选择

Gagan Punacha1, Rama Adiga2

  • 1Nitte (Deemed to be University), Department of Molecular Genetics & Cancer, Nitte University Centre for Science Education & Research (NUCSER), Mangalore, Karnataka, India.

Genes & genomics
|November 20, 2023
PubMed
概括

使用机器学习 (ML) 分类SARS-CoV-2变种有助于早期检测和减少传播. 这项研究开发了一种ML模型,使用蛋白质组数据来预测疾病严重程度并识别高风险变体.

关键词:
集群集成是指集群集成.关键字 关键字 关键字 关键字 关键字机器学习是机器学习.这就是SARS-CoV-2病毒.监督监督监督监督监督监督监督监督监督监督监督监督

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Steps in Outbreak Investigation01:18

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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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