Ontology of dietary recommendation addressed to people with overweight and obesity, an alternative tool in times of COVID

DOI: https://doi.org/10.5377/rci.v28i01.11460
Keywords: Health Self-Management, Nutrition, Ontologies, Obesity, Protégé

Abstract

Obesity is a preventable chronic disease of multifactorial origin, characterized by excessive accumulation of fat, usually from adipose tissue in the body. This document is an ontology that models knowledge in the domain of obesity, nutrition and food in order to make a diet recommendation system, an alternative tool for self-management of health in times of COVID. It was built using Protégé with OWL 2-D, L format, the methodology was adapted to the SCRUM framework. This proposal gives suggestions for diets in general, it is not personalized for each type of patient, according to tastes or dietary restrictions such as illnesses, allergies, age.

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Author Biography

Dexon Mckensy Sambola, Bluefields Indian & Caribbean University (BICU)

Master in New Technologies in Computer Science, with a Specialty in Intelligent Technologies and Knowledge with Applications in Medicine from the University of Murcia, Spain, Head of Research at the School of Computer Science, Bluefields Indian & Caribbean University

Published
2021-06-08
How to Cite
Mckensy Sambola, D. (2021). Ontology of dietary recommendation addressed to people with overweight and obesity, an alternative tool in times of COVID. Science and Interculturality, 28(01), 76 - 85. https://doi.org/https://doi.org/10.5377/rci.v28i01.11460
Issue
Vol 28 No 01 (2021)
Section
Intercultural Health
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

El autor mantiene los derechos morales y  permite la cesión gratuita, exclusiva y por plazo indefinido de sus derechos patrimoniales de autoría a la Universidad de las Regiones Autónomas de la Costa Caribe Nicaraguense (URACCAN).