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

Autor: Alizadeh Elham Ataei, Faya Sara Costa, Liu Haibo, Lombardi Damiano, Bernasconi Sylvain, Guns Pieter-Jan, Markert Michael
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: ESAIM: Proceedings and Surveys, Vol 73, Pp 2-27 (2023)
Druh dokumentu: article
ISSN: 2267-3059
DOI: 10.1051/proc/202373002
Popis: 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.
Databáze: Directory of Open Access Journals