Please use this identifier to cite or link to this item: https://repositorio.uca.edu.ar/handle/123456789/5652
Título : Human endocrine system modeling based on ontologies
Autor : Viale, Pamela 
Bora, Juan José 
Benegui, Maximiliano 
Basualdo, Marta 
Palabras clave : ONTOLOGIAINGENIERIA QUIMICADIABETESSALUDNUEVAS TECNOLOGIAS
Fecha de publicación : 2016
Cita : Viale, 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: ….]
Resumen : 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.
URI : https://repositorio.uca.edu.ar/handle/123456789/5652
ISSN : 0950-7051
Disciplina: INGENIERIA
DOI: 10.1016/j.knosys.2016.08.002
Derechos: Acceso abierto. 2 años de embargo
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