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Updated: Feb 2, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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ML-ABC:机器学习辅助的近似贝叶斯计算,用于有效校准基于病原体的模型,用于分析流行病爆发

Thomas Bayley1, Tony Ward1, Fabian Sturman2

  • 1UK Health Security Agency, London, UK.

Epidemics
|January 31, 2026
PubMed
概括

我们开发了一种更快的方法,即机器学习近似贝叶斯计算 (ML-ABC),用于对COVID-19进行复杂的基于代理的模型 (ABM) 的校准. 这种方法提高了流行病建模的效率和参数不确定性量化.

关键词:
基于代理的模型基于代理的模型.传染病建模传染病模型机器学习算法的算法.疫情防控 疫情防控 疫情控制

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