Please use this identifier to cite or link to this item: https://repositorio.uca.edu.ar/handle/123456789/5652
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dc.contributor.authorViale, Pamelaes
dc.contributor.authorBora, Juan Josées
dc.contributor.authorBenegui, Maximilianoes
dc.contributor.authorBasualdo, Martaes
dc.date.accessioned2019-06-06T00:52:52Z-
dc.date.available2019-06-06T00:52:52Z-
dc.date.issued2016-
dc.identifier.citationViale, P, Bora, JJ, Benegui, M, Basualdo, M. Human endocrine system modeling based on ontologies [en línea]. Knowledge-Based Systems. 2016:111. Disponible en: http://bibliotecadigital.uca.edu.ar/repositorio/investigacion/human-endocrine-system-modeling.pdf [Fecha de consulta: ….]es
dc.identifier.issn0950-7051-
dc.identifier.urihttps://repositorio.uca.edu.ar/handle/123456789/5652-
dc.description.abstractAbstract: 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.es
dc.formatapplication/pdfes
dc.language.isoenges
dc.rightsAcceso abierto. 2 años de embargoes
dc.rights.urihttps://creativecommons.org/licenses/by-nc-sa/4.0/es
dc.sourceKnowledge-Based Systems Vol. 111, 2016es
dc.sourceISSN 0950-7051es
dc.subjectONTOLOGIAes
dc.subjectINGENIERIA QUIMICAes
dc.subjectDIABETESes
dc.subjectSALUDes
dc.subjectNUEVAS TECNOLOGIASes
dc.titleHuman endocrine system modeling based on ontologieses
dc.typeArtículoes
dc.identifier.doi10.1016/j.knosys.2016.08.002-
uca.pathFacultad de Química e Ingeniería del Rosario|Artículoses
uca.disciplinaINGENIERIAes
uca.filename/home/data-uca-generic/folder_generic_common/Envio Rosario/Fac.QuimicaIngenieria/Articulos/human-endocrine-system-modeling/metadata.xmles
uca.issnrd1es
uca.affiliationFil: Viale, Pamela. Universidad Católica Argentina. Facultad de Química e Ingeniería "Fray Rogelio Bacon"; Argentinaes
uca.affiliationFil: Bora, Juan José. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentinaes
uca.affiliationFil: Benegui, Maximiliano. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentinaes
uca.affiliationFil: Basualdo, Marta. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentinaes
uca.affiliationFil: Viale, Pamela. Universidad Nacional de Rosario. Facultad de Ciencias Exactas, Ingeniería y Agrimensura; Argentinaes
uca.affiliationFil: Basualdo, Marta. Universidad Tecnológica Nacional. Facultad Regional Rosario; Argentinaes
uca.versionacceptedVersiones
item.languageiso639-1en-
item.grantfulltextopen-
item.fulltextWith Fulltext-
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