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Updated: Jun 10, 2025

Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression
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Design of Cecal Ligation and Puncture and Intranasal Infection Dual Model of Sepsis-Induced Immunosuppression

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一种结合神经ODE-贝叶斯优化方法,用于解决免疫记忆修改后的SIR模型的动态和估计参数

Donglin Liu1, Alexandros Sopasakis1

  • 1Department of Mathematics, Lund University, 22362 Lund, Skåne, Sweden.

Heliyon
|October 11, 2024
PubMed
概括

这项研究引入了一种混合方法,将神经普通微分方程 (NODE) 和贝叶斯优化相结合,用于建模传染病动态. 该方法准确地预测感染峰值,使用具有免疫记忆的修改后的易受感染-移除 (SIR) 模型.

关键词:
预测 预测 预测 预测神经常规微分方程 神经常规微分方程参数估计的参数估计.这是一个SIR模型.时间延迟免疫力丧失.

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