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First Steps of Asthma Management with a Personalized Ontology Model

Author

Listed:
  • Hicham Ajami

    (Department of Computer Science and Mathematics, Université du Quebec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

  • Hamid Mcheick

    (Department of Computer Science and Mathematics, Université du Quebec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

  • Catherine Laprise

    (Fundamental Sciences Department, Université du Quebec à Chicoutimi, Chicoutimi, QC G7H 2B1, Canada)

Abstract

Asthma is a chronic respiratory disease characterized by severe inflammation of the bronchial mucosa. Allergic asthma is the most common form of this health issue. Asthma is classified into allergic and non-allergic asthma, and it can be triggered by several factors such as indoor and outdoor allergens, air pollution, weather conditions, tobacco smoke, and food allergens, as well as other factors. Asthma symptoms differ in their frequency and severity since each patient reacts differently to these triggers. Formal knowledge is selected as one of the most promising solutions to deal with these challenges. This paper presents a new personalized approach to manage asthma. An ontology-driven model supported by Semantic Web Rule Language (SWRL) medical rules is proposed to provide personalized care for an asthma patient by identifying the risk factors and the development of possible exacerbations.

Suggested Citation

  • Hicham Ajami & Hamid Mcheick & Catherine Laprise, 2022. "First Steps of Asthma Management with a Personalized Ontology Model," Future Internet, MDPI, vol. 14(7), pages 1-13, June.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:7:p:190-:d:844637
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    References listed on IDEAS

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    1. Pablo Orellano & Nancy Quaranta & Julieta Reynoso & Brenda Balbi & Julia Vasquez, 2017. "Effect of outdoor air pollution on asthma exacerbations in children and adults: Systematic review and multilevel meta-analysis," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-15, March.
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    Cited by:

    1. Ivan Miguel Pires, 2022. "Smart Objects and Technologies for Social Good," Future Internet, MDPI, vol. 14(12), pages 1-3, December.

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