Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system

E. Alizadeh, Sara Costa Faya, Haibo Liu, D. Lombardi, Sylvain Bernasconi, P. Guns, M. Markert
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Abstract

The aim of this work is to provide a preliminary comparison of different classes of methods to automatically detect the effect of ageing from in vivo data. The application which motivated this work is related to safety pharmacology, whose major goal is to determine, in a pre-clinical phase, whether a drug is potentially dangerous for the health. In particular, we are going to compare statistical, machine learning and mathematical modelling methods.
比较统计学、机器学习和数学建模方法来研究衰老对狗心血管系统的影响
这项工作的目的是提供不同类别的方法来自动检测老化的影响从体内数据的初步比较。推动这项工作的应用与安全药理学有关,其主要目标是在临床前阶段确定药物是否对健康有潜在危险。特别是,我们将比较统计、机器学习和数学建模方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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