Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system
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...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2023-01-01
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| Series: | ESAIM: Proceedings and Surveys |
| Online Access: | https://www.esaim-proc.org/articles/proc/pdf/2023/02/proc2307301.pdf |
| _version_ | 1797673449178529792 |
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| author | Alizadeh Elham Ataei Faya Sara Costa Liu Haibo Lombardi Damiano Bernasconi Sylvain Guns Pieter-Jan Markert Michael |
| author_facet | Alizadeh Elham Ataei Faya Sara Costa Liu Haibo Lombardi Damiano Bernasconi Sylvain Guns Pieter-Jan Markert Michael |
| author_sort | Alizadeh Elham Ataei |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-11T21:45:35Z |
| format | Article |
| id | doaj.art-679ebb60fd8744999af5ce099965530f |
| institution | Directory Open Access Journal |
| issn | 2267-3059 |
| language | English |
| last_indexed | 2024-03-11T21:45:35Z |
| publishDate | 2023-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ESAIM: Proceedings and Surveys |
| spelling | doaj.art-679ebb60fd8744999af5ce099965530f2023-09-26T10:13:00ZengEDP SciencesESAIM: Proceedings and Surveys2267-30592023-01-017322710.1051/proc/202373002proc2307301Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular systemAlizadeh Elham Ataei0Faya Sara Costa1Liu Haibo2Lombardi Damiano3Bernasconi Sylvain4Guns Pieter-Jan5Markert Michael6General Pharmacology Group, Department of Drug Discovery Support, Boehringer Ingelheim Pharma GmbH & Co KGSorbonne Université and COMMEDIA team, InriaSorbonne Université and COMMEDIA team, InriaSorbonne Université and COMMEDIA team, InriaNOTOCORD, an Instem companyLaboratory of Physiopharmacology, University of AntwerpGeneral Pharmacology Group, Department of Drug Discovery Support, Boehringer Ingelheim Pharma GmbH & Co KGThe 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.https://www.esaim-proc.org/articles/proc/pdf/2023/02/proc2307301.pdf |
| spellingShingle | Alizadeh Elham Ataei Faya Sara Costa Liu Haibo Lombardi Damiano Bernasconi Sylvain Guns Pieter-Jan Markert Michael Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system ESAIM: Proceedings and Surveys |
| title | Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system |
| title_full | Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system |
| title_fullStr | Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system |
| title_full_unstemmed | Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system |
| title_short | Comparison of statistical, machine learning, and mathematical modelling methods to investigate the effect of ageing on dog’s cardiovascular system |
| title_sort | comparison of statistical machine learning and mathematical modelling methods to investigate the effect of ageing on dog s cardiovascular system |
| url | https://www.esaim-proc.org/articles/proc/pdf/2023/02/proc2307301.pdf |
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