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对具有相关输入的生物机械模型进行高效的灵敏度分析

Pjotr L J Hilhorst¹, Sjeng Quicken¹, Frans N van de Vosse¹

¹Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands.

International journal for numerical methods in biomedical engineering

|December 20, 2023

概括

本研究为生物机械模型引入了一种高效的相关全球灵敏度分析 (SA) 方法,大大降低了计算成本. 它强调了输入相关性对SA结果的关键影响,指导模型开发.

科学领域:

生物机械建模生物机械建模
计算生物学是一种计算生物学.
灵敏度分析是一种灵敏度分析.

背景情况:

基于变异的灵敏度分析 (SA) 在生物力学模型中经常假设输入独立性.
输入相关性可以改变SA解释,影响模型开发和个性化.
高的计算成本和未知的相关性结构限制了相关的SA的使用.

研究的目的:

为相关的全球敏感性分析提出一种有效的替代模型方法.
在模型开发中展示相关SA的解释和应用.
为了指导建模人员处理输入相关性,即使结构还不完全清楚.

主要方法:

开发了一种基于替代模型的方法,用于高效的相关全球敏感性分析.
将该方法应用于脉冲波传播模型.
证明了对使用相关SA的建模人员的解释和指导.

主要成果:

与非替代方法相比,在理论上降低了27000倍的计算成本,获得了准确的SA结果.
输入相关性被证明会显著影响SA结果.
该方法有效指导输入优先级,固定,减少和依赖性评估.

结论:

拟议的基于替代品的SA方法使复杂的生物力学模型能够有效的相关SA.
调查输入相关性对于准确的SA和可靠的模型开发至关重要.
该方法支持模型改进和理解参数关系的关键方面.

关键词:

相关联输入相关联输入.脉冲波传播模型的脉冲波传播模型.灵敏度分析是一种灵敏度分析.代孕模拟的代孕模拟

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