A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling

Ayan Chatterjee

2024

Abstract

Asthma, a complex chronic respiratory condition, poses significant management challenges, necessitating personalized monitoring for optimal treatment outcomes and individual well-being. This study introduces a Fuzzy Decision Support System (FDSS) for personalized asthma monitoring, leveraging semantic reasoning techniques and SPARQL querying to enhance decision-making accuracy and provide individualized assessments of asthma control and exacerbation risk. By utilizing semantic reasoning, the FDSS captures intricate relationships among asthma parameters, health data, triggers, and treatment outcomes, enabling precise management decisions. Development involves creating an ontology to encapsulate asthma domain knowledge, representing fuzzy logic, integrating crisp and fuzzy clinical variables, and executing SPARQL queries for fuzzy inference. The proposed FDSS demonstrates the feasibility of integrating these techniques for personalized asthma management, offering flexibility and adaptability to improve treatment outcomes and quality of life. Further research is needed to validate its efficacy in real-world healthcare settings.

Paper Citation

in Harvard Style

Chatterjee A. (2024). A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-716-0, SciTePress, pages 143-150. DOI: 10.5220/0012910500003838

in Bibtex Style

@conference{keod24,
author={Ayan Chatterjee},
title={A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2024},
pages={143-150},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012910500003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - A Fuzzy Decision Support System with Semantic Knowledge Graph for Personalized Asthma Monitoring: A Conceptual Modeling
SN - 978-989-758-716-0
AU - Chatterjee A.
PY - 2024
SP - 143
EP - 150
DO - 10.5220/0012910500003838
PB - SciTePress