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Updated: Jun 6, 2025

Identification of Disease-related Spatial Covariance Patterns using Neuroimaging Data
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EMSIG:揭示影响COVID-19疫苗接种的因素 跨不同的子组 基于嵌入的空间信息获取的特征

Zongliang Yue1, Nicholas P McCormick1, Oluchukwu M Ezeala1

  • 1Department of Health Outcomes Research and Policy, Harrison College of Pharmacy, Auburn University, Auburn, AL 36849, USA.

Vaccines
|November 26, 2024
PubMed
概括

一种新的机器学习方法,EMSIG,识别了深南地区特定的COVID-19疫苗犹因素. 这有助于定制干预措施,以提高疫苗接种率,并确保公平的公共卫生战略.

关键词:
在 COVID-19 疫情中,嵌入式 嵌入式嵌入式在这个过程中,因子因子是指因子因子.犹犹的犹 犹犹的犹机器学习是机器学习.获得空间信息获取一个子组的子组.吸收 吸收 吸收 吸收接种疫苗 接种疫苗

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