On parameter interpretability of phenomenological-based semiphysical models in biology
Empirical and phenomenological-based models are used to represent biological and physiological processes. Phenomenological models are derived from the knowledge of the mechanisms that underlie the behavior of the system under study, while empirical models are derived from data analysis to quantify r...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2019-01-01
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| Series: | Informatics in Medicine Unlocked |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914818302181 |
| _version_ | 1818309691651915776 |
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| author | Laura Lema-Perez Rafael Muñoz-Tamayo Jose Garcia-Tirado Hernan Alvarez |
| author_facet | Laura Lema-Perez Rafael Muñoz-Tamayo Jose Garcia-Tirado Hernan Alvarez |
| author_sort | Laura Lema-Perez |
| collection | DOAJ |
| description | Empirical and phenomenological-based models are used to represent biological and physiological processes. Phenomenological models are derived from the knowledge of the mechanisms that underlie the behavior of the system under study, while empirical models are derived from data analysis to quantify relationships between variables of interest. For studying biological systems, the phenomenological modeling approach offers the great advantage of having a structure with variables and parameters with physical meaning that enhance the interpretability of the model and its further use for decision making. The interpretability property of models, however, remains a vague concept. In this study, we addressed the interpretability property for parameters of phenomenological-based models. To our knowledge, this property has not been deeply discussed, perhaps by the implicit assumption that interpretability is inherent to phenomenological-based models. We propose a conceptual framework to address parameter interpretability and its implications for parameter identifiability, using a simple but relevant model representing the enzymatic degradation of β−casein by a Lactococcus lactis bacterium. We illustrated the usefulness of integrating parameter interpretability in the process of construction and exploitation of phenomenological models. Keywords: Biological systems, Identifiability, Mechanistic models, Parameter interpretability, Phenomenological based semi-physical model (PBSM) |
| first_indexed | 2024-12-13T07:34:12Z |
| format | Article |
| id | doaj.art-a6c7a361a5384d6da84d41fb34aef1b9 |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-12-13T07:34:12Z |
| publishDate | 2019-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-a6c7a361a5384d6da84d41fb34aef1b92022-12-21T23:55:08ZengElsevierInformatics in Medicine Unlocked2352-91482019-01-0115On parameter interpretability of phenomenological-based semiphysical models in biologyLaura Lema-Perez0Rafael Muñoz-Tamayo1Jose Garcia-Tirado2Hernan Alvarez3Universidad Nacional de Colombia, Facultad de Minas, Escuela de Procesos y Energía, Kalman Research Group, Cra 80 No 65-223, 050041, Medellín, Colombia; Corresponding author.UMR Modélisation Systémique Appliquée aux Ruminants, INRA, AgroParisTech, Université Paris-Saclay, 75005, Paris, FranceCenter for Diabetes Technology, University of Virginia, Charlottesville, VA, USAUniversidad Nacional de Colombia, Facultad de Minas, Escuela de Procesos y Energía, Kalman Research Group, Cra 80 No 65-223, 050041, Medellín, ColombiaEmpirical and phenomenological-based models are used to represent biological and physiological processes. Phenomenological models are derived from the knowledge of the mechanisms that underlie the behavior of the system under study, while empirical models are derived from data analysis to quantify relationships between variables of interest. For studying biological systems, the phenomenological modeling approach offers the great advantage of having a structure with variables and parameters with physical meaning that enhance the interpretability of the model and its further use for decision making. The interpretability property of models, however, remains a vague concept. In this study, we addressed the interpretability property for parameters of phenomenological-based models. To our knowledge, this property has not been deeply discussed, perhaps by the implicit assumption that interpretability is inherent to phenomenological-based models. We propose a conceptual framework to address parameter interpretability and its implications for parameter identifiability, using a simple but relevant model representing the enzymatic degradation of β−casein by a Lactococcus lactis bacterium. We illustrated the usefulness of integrating parameter interpretability in the process of construction and exploitation of phenomenological models. Keywords: Biological systems, Identifiability, Mechanistic models, Parameter interpretability, Phenomenological based semi-physical model (PBSM)http://www.sciencedirect.com/science/article/pii/S2352914818302181 |
| spellingShingle | Laura Lema-Perez Rafael Muñoz-Tamayo Jose Garcia-Tirado Hernan Alvarez On parameter interpretability of phenomenological-based semiphysical models in biology Informatics in Medicine Unlocked |
| title | On parameter interpretability of phenomenological-based semiphysical models in biology |
| title_full | On parameter interpretability of phenomenological-based semiphysical models in biology |
| title_fullStr | On parameter interpretability of phenomenological-based semiphysical models in biology |
| title_full_unstemmed | On parameter interpretability of phenomenological-based semiphysical models in biology |
| title_short | On parameter interpretability of phenomenological-based semiphysical models in biology |
| title_sort | on parameter interpretability of phenomenological based semiphysical models in biology |
| url | http://www.sciencedirect.com/science/article/pii/S2352914818302181 |
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