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Human endocrine system modeling based on ontologies

机译：基于本体的人体内分泌系统建模

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摘要

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 specifically 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 model,(1) accepted by the FDA.(2) 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 different disciplines, such as, endocrinologists, nutritionists, nurses, engineers and patients among others. In addition, it is envisioned that this development can be extended to configure 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. (C) 2016 Elsevier B.V. All rights reserved.
机译：本文介绍了人类内分泌系统严格通用模型的本体论方法的新颖用法。它基于专门为化学工程设计开发的现有本体，名为OntoCAPE。它提供了实现人类内分泌系统间隔模型的大多数必要概念，例如FDA接受的UVa / Padova模型（1）。（2）我们将此扩展本体命名为Bio OntoCape，该实体与MatLab连接以执行使用构建的模型进行动态模拟，以预测外部刺激（例如进餐和胰岛素剂量）的影响。选择该数学模型是因为它具有足够的通用性，可以代表健康，糖尿病前期和糖尿病患者。完整的系统被认为对来自不同学科的参与者有帮助，例如内分泌学家，营养学家，护士，工程师和患者等。此外，可以预见的是，这一发展可以扩展到为阿根廷的糖尿病患者治疗配置一个e-Health平台。这将有助于远程监控患者，从而减少医院的个人出勤率和医疗预算。 （C）2016 Elsevier B.V.保留所有权利。

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  • 来源
    《Knowledge-Based Systems》 |2016年第1期|113-132|共20页
  • 作者

    Viale Pamela; Jose Bora Juan; Benegui Maximilian; Basualdo Marta;

  • 作者单位

    Univ Nacl Rosario, Fac Ciencias Exactas Ingn & Agrimensura, Rosario, Santa Fe, Argentina|Pontificia Univ Catolica Argentina, Fac Quim & Ingn Fray Rogelio Bacon, UCA, Campus Rosario, Rosario, Santa Fe, Argentina;

    Univ Nacl Rosario, Fac Ciencias Exactas Ingn & Agrimensura, Rosario, Santa Fe, Argentina;

    Univ Nacl Rosario, Fac Ciencias Exactas Ingn & Agrimensura, Rosario, Santa Fe, Argentina;

    Univ Nacl Rosario, Fac Ciencias Exactas Ingn & Agrimensura, Rosario, Santa Fe, Argentina|UTN, FRRO, Fac Reg Rosario, Rosario, Santa Fe, Argentina;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    Ontology; Knowledge engineering; Knowledge base; Diabetes mellitus; E-Health;

    机译：本体;知识工程;知识基础;糖尿病;电子卫生;

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