Human endocrine system modeling based on ontologies

Autores
Viale, Pamela; Bora, Juan José; Benegui, Maximiliano; Basualdo, Marta
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Fil: Viale, Pamela. Universidad Católica Argentina. Facultad de Química e Ingeniería "Fray Rogelio Bacon"; Argentina
Fil: Bora, Juan José. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Benegui, Maximiliano. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Basualdo, Marta. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Viale, Pamela. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Basualdo, Marta. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina
Abstract: This article presents a novel use of an ontological approach of a rigorous generic model of the human endocrine system. It is based on an existing ontology specically developed for chemical engineering design, named OntoCAPE. It provides most of the necessary concepts for implementing compartmental models of the human endocrine system, such as the UVa/Padova model1, accepted by the FDA2. We named this extended ontology Bio OntoCape which is connected with MatLab to perform dynamic simulation with the constructed model to predict the impact of the external stimuli such as meals intake and insulin dosage. This mathematical model was chosen because is enough versatile to represent healthy, prediabetic and diabetic persons. The complete system is thought to be helpful for participants from dierent disciplines, such as, endocrinologists, nutritionists, nurses, engineers and patients among others. In addition, it is envisioned that this development can be extended to congure an e-Health platform for diabetic patients treatment in Argentina. This will help to remotely monitoring patients reducing the personal attendance at hospitals as well as medical budgets.
Fuente
Knowledge-Based Systems Vol. 111, 2016
Materia
ONTOLOGIA
INGENIERIA QUIMICA
DIABETES
SALUD
NUEVAS TECNOLOGIAS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
Repositorio Institucional (UCA)
Institución
Pontificia Universidad Católica Argentina
OAI Identificador
oai:ucacris:123456789/5652
Acceder
id RIUCA_b976107d049ec0fbe9579e662b76f91a
oai_identifier_str oai:ucacris:123456789/5652
network_acronym_str RIUCA
repository_id_str 2585
network_name_str Repositorio Institucional (UCA)
spelling Human endocrine system modeling based on ontologiesViale, PamelaBora, Juan JoséBenegui, MaximilianoBasualdo, MartaONTOLOGIAINGENIERIA QUIMICADIABETESSALUDNUEVAS TECNOLOGIASFil: Viale, Pamela. Universidad Católica Argentina. Facultad de Química e Ingeniería "Fray Rogelio Bacon"; ArgentinaFil: Bora, Juan José. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Benegui, Maximiliano. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Basualdo, Marta. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Viale, Pamela. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; ArgentinaFil: Basualdo, Marta. Universidad Tecnológica Nacional. Facultad Regional Rosario; ArgentinaAbstract: This article presents a novel use of an ontological approach of a rigorous generic model of the human endocrine system. It is based on an existing ontology specically developed for chemical engineering design, named OntoCAPE. It provides most of the necessary concepts for implementing compartmental models of the human endocrine system, such as the UVa/Padova model1, accepted by the FDA2. We named this extended ontology Bio OntoCape which is connected with MatLab to perform dynamic simulation with the constructed model to predict the impact of the external stimuli such as meals intake and insulin dosage. This mathematical model was chosen because is enough versatile to represent healthy, prediabetic and diabetic persons. The complete system is thought to be helpful for participants from dierent disciplines, such as, endocrinologists, nutritionists, nurses, engineers and patients among others. In addition, it is envisioned that this development can be extended to congure an e-Health platform for diabetic patients treatment in Argentina. This will help to remotely monitoring patients reducing the personal attendance at hospitals as well as medical budgets.2016info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://repositorio.uca.edu.ar/handle/123456789/56520950-705110.1016/j.knosys.2016.08.002Viale, P, Bora, JJ, Benegui, M, Basualdo, M. Human endocrine system modeling based on ontologies [en línea]. Knowledge-Based Systems. 2016:111. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5652Knowledge-Based Systems Vol. 111, 2016reponame:Repositorio Institucional (UCA)instname:Pontificia Universidad Católica Argentinaenginfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/4.0/2026-02-26T14:07:33Zoai:ucacris:123456789/5652instacron:UCAInstitucionalhttps://repositorio.uca.edu.ar/Universidad privadaNo correspondehttps://repositorio.uca.edu.ar/oaiclaudia_fernandez@uca.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:25852026-02-26 14:07:33.245Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentinafalse
dc.title.none.fl_str_mv Human endocrine system modeling based on ontologies
title Human endocrine system modeling based on ontologies
spellingShingle Human endocrine system modeling based on ontologies
Viale, Pamela
ONTOLOGIA
INGENIERIA QUIMICA
DIABETES
SALUD
NUEVAS TECNOLOGIAS
title_short Human endocrine system modeling based on ontologies
title_full Human endocrine system modeling based on ontologies
title_fullStr Human endocrine system modeling based on ontologies
title_full_unstemmed Human endocrine system modeling based on ontologies
title_sort Human endocrine system modeling based on ontologies
dc.creator.none.fl_str_mv Viale, Pamela
Bora, Juan José
Benegui, Maximiliano
Basualdo, Marta
author Viale, Pamela
author_facet Viale, Pamela
Bora, Juan José
Benegui, Maximiliano
Basualdo, Marta
author_role author
author2 Bora, Juan José
Benegui, Maximiliano
Basualdo, Marta
author2_role author
author
author
dc.subject.none.fl_str_mv ONTOLOGIA
INGENIERIA QUIMICA
DIABETES
SALUD
NUEVAS TECNOLOGIAS
topic ONTOLOGIA
INGENIERIA QUIMICA
DIABETES
SALUD
NUEVAS TECNOLOGIAS
dc.description.none.fl_txt_mv Fil: Viale, Pamela. Universidad Católica Argentina. Facultad de Química e Ingeniería "Fray Rogelio Bacon"; Argentina
Fil: Bora, Juan José. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Benegui, Maximiliano. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Basualdo, Marta. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Viale, Pamela. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentina
Fil: Basualdo, Marta. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentina
Abstract: This article presents a novel use of an ontological approach of a rigorous generic model of the human endocrine system. It is based on an existing ontology specically developed for chemical engineering design, named OntoCAPE. It provides most of the necessary concepts for implementing compartmental models of the human endocrine system, such as the UVa/Padova model1, accepted by the FDA2. We named this extended ontology Bio OntoCape which is connected with MatLab to perform dynamic simulation with the constructed model to predict the impact of the external stimuli such as meals intake and insulin dosage. This mathematical model was chosen because is enough versatile to represent healthy, prediabetic and diabetic persons. The complete system is thought to be helpful for participants from dierent disciplines, such as, endocrinologists, nutritionists, nurses, engineers and patients among others. In addition, it is envisioned that this development can be extended to congure an e-Health platform for diabetic patients treatment in Argentina. This will help to remotely monitoring patients reducing the personal attendance at hospitals as well as medical budgets.
description Fil: Viale, Pamela. Universidad Católica Argentina. Facultad de Química e Ingeniería "Fray Rogelio Bacon"; Argentina
publishDate 2016
dc.date.none.fl_str_mv 2016
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://repositorio.uca.edu.ar/handle/123456789/5652
0950-7051
10.1016/j.knosys.2016.08.002
Viale, P, Bora, JJ, Benegui, M, Basualdo, M. Human endocrine system modeling based on ontologies [en línea]. Knowledge-Based Systems. 2016:111. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5652
url https://repositorio.uca.edu.ar/handle/123456789/5652
identifier_str_mv 0950-7051
10.1016/j.knosys.2016.08.002
Viale, P, Bora, JJ, Benegui, M, Basualdo, M. Human endocrine system modeling based on ontologies [en línea]. Knowledge-Based Systems. 2016:111. Disponible en: https://repositorio.uca.edu.ar/handle/123456789/5652
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/4.0/
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Knowledge-Based Systems Vol. 111, 2016
reponame:Repositorio Institucional (UCA)
instname:Pontificia Universidad Católica Argentina
reponame_str Repositorio Institucional (UCA)
collection Repositorio Institucional (UCA)
instname_str Pontificia Universidad Católica Argentina
repository.name.fl_str_mv Repositorio Institucional (UCA) - Pontificia Universidad Católica Argentina
repository.mail.fl_str_mv claudia_fernandez@uca.edu.ar
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score 13.176822

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