Human endocrine system modeling based on ontologies
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 comp...
Autores principales: | , , , |
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Formato: | Artículo |
Lenguaje: | Inglés |
Publicado: |
2019
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Acceso en línea: | https://repositorio.uca.edu.ar/handle/123456789/5652 |
Aporte de: |
id |
I33-R139123456789-5652 |
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record_format |
dspace |
institution |
Universidad Católica Argentina |
institution_str |
I-33 |
repository_str |
R-139 |
collection |
Repositorio Institucional de la Universidad Católica Argentina (UCA) |
language |
Inglés |
topic |
ONTOLOGIA INGENIERIA QUIMICA DIABETES SALUD NUEVAS TECNOLOGIAS |
spellingShingle |
ONTOLOGIA INGENIERIA QUIMICA DIABETES SALUD NUEVAS TECNOLOGIAS Viale, Pamela Bora, Juan José Benegui, Maximiliano Basualdo, Marta Human endocrine system modeling based on ontologies |
topic_facet |
ONTOLOGIA INGENIERIA QUIMICA DIABETES SALUD NUEVAS TECNOLOGIAS |
description |
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. |
format |
Artículo |
author |
Viale, Pamela Bora, Juan José Benegui, Maximiliano Basualdo, Marta |
author_facet |
Viale, Pamela Bora, Juan José Benegui, Maximiliano Basualdo, Marta |
author_sort |
Viale, Pamela |
title |
Human endocrine system modeling based on ontologies |
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 |
publishDate |
2019 |
url |
https://repositorio.uca.edu.ar/handle/123456789/5652 |
work_keys_str_mv |
AT vialepamela humanendocrinesystemmodelingbasedonontologies AT borajuanjose humanendocrinesystemmodelingbasedonontologies AT beneguimaximiliano humanendocrinesystemmodelingbasedonontologies AT basualdomarta humanendocrinesystemmodelingbasedonontologies |
bdutipo_str |
Repositorios |
_version_ |
1764820527551086592 |