Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph

Ayan Chatterjee

2024

Abstract

Personalized approaches are required for asthma management due to the variability in symptoms, triggers, and patient characteristics. An innovative asthma recommendation system that integrates automatic predictive analysis with semantic knowledge to provide personalized recommendations for asthma management is proposed by this paper. Asthma exacerbation are predicted and the recommendations are enhanced by the system, which leverages automatic Tree-based Pipeline Optimization Tool (TPOT) and semantic knowledge represented in an OWL Ontology (AsthmaOnto). Furthermore, classifications are explained with Local Interpretable Model-Agnostic Explanations (LIME) to identify feature importance. Tailored interventions based on individual patient profiles are provided by this conceptual model, aiming to improve asthma management. The proposed model has been verified using public asthma datasets, and a public weather air-quality dataset has been utilized to support ontology development and verification. In TPOT, the Gaussian Naive Bayes (Gaus-sianNB) classifier has outperformed other supervised machine learning models with an accuracy of 0.75, for the used dataset. To implement and evaluate the proposed model in clinical settings, further development and validation with more diverse and robust datasets with model calibration are required.

Paper Citation

in Harvard Style

Chatterjee A. (2024). Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph. 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 127-134. DOI: 10.5220/0012894500003838

in Bibtex Style

@conference{keod24,
author={Ayan Chatterjee},
title={Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2024},
pages={127-134},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012894500003838},
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 - Personalized Asthma Recommendation System: Leveraging Predictive Analysis and Semantic Ontology-Based Knowledge Graph
SN - 978-989-758-716-0
AU - Chatterjee A.
PY - 2024
SP - 127
EP - 134
DO - 10.5220/0012894500003838
PB - SciTePress