SSRCA:,.

Edward H Rohr1, John T Nardini2

  • 1Department of Mathematics, Tufts University, Medford, MA, 02155, USA.

概括

我们开发了一种新的机器学习管道,即模拟,总结,减少,集群和分析 (SSRCA),以简化复杂的基于生物剂的模型 (ABM) 的灵敏度分析. SSRCA有效地识别关键参数和输出模式,简化生物建模任务.

相关概念视频

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Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
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Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

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Steps in Outbreak Investigation

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Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

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