Human endocrine system modeling based on ontologies

• Published in: Knowledge-based systems Vol. 111; pp. 113 - 132
• Main Authors: Viale, Pamela, Bora, Juan José, Benegui, Maximiliano, Basualdo, Marta
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.11.2016
• Subjects: Diabetes mellitus; E-Health; Knowledge base; Knowledge engineering; Ontology; Knowledge engineering; Knowledge base; Ontology; Diabetes mellitus; E-Health
• ISSN: 0950-7051; 1872-7409
• DOI: 10.1016/j.knosys.2016.08.002

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,11The UVa/Padova Type 1 Diabetes Mellitus Metabolic Simulator is a computer model of the human metabolic system based on the glucose-insulin dynamics in human subjects accepted by the FDA.22U.S. Food and Drug Administration 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.