A two-staged approach to developing and evaluating an ontology for delivering personalized education to diabetic patients

Abstract

Ontologies are often used in biomedical and health domains to provide a concise and consistent means of attributing meaning to medical terminology. While they are novices in terms of ontology engineering, the evaluation of an ontology by domain specialists provides an opportunity to enhance its objectivity, accuracy, and coverage of the domain itself. This paper provides an evaluation of the viability of using ontology engineering novices to evaluate and enrich an ontology that can be used for personalized diabetic patient education. We describe a methodology for engaging healthcare and information technology specialists with a range of ontology engineering tasks. We used 87.8% of the data collected to validate the accuracy of our ontological model. The contributions also enabled a 16% increase in the class size and an 18% increase in object properties. Furthermore, we propose that ontology engineering novices can make valuable contributions to ontology development. Application-specific evaluation of the ontology using a semantic-web-based architecture is also discussed.

Ontology: Components and Evaluation, a Review

“…In the medical area, it has proposed to use an ontology for integrating information by heterogeneous way in order to create a repository using a similarity detection algorithm; for creating the mean ontology, it was necessary to mapping the known features to extend the domain [25]. Another application in the same area, it is the use of an ontology for enriching the diabetic patient education in a personalized way [23].…”

Bluetooth 5.0 Suitability Assessment for Emergency Response within Fire Environments

“…Monitoring enables risk assessment and intervention, thereby providing a means of potentially reducing casualties [5]. IoMT applications are typically concerned with tracking a users' state of health to monitor wellbeing [6,7] and quantify progression of an illness [8]. Moreover, continuous monitoring and reporting of a user's vital signs, such as heart rate, temperature, and respiration, can unveil potential health risks by identifying otherwise unnoticed irregularities.…”

A Health eLearning Ontology and Procedural Reasoning Approach for Developing Personalized Courses to Teach Patients about Their Medical Condition and Treatment

“…The execution of the knowledge encapsulated within the ontology allows for the dynamic generation of a patient’s profile and the selection of the relevant self-management strategies, educational, and motivational messages. Quinn et al [ 35 ] developed an approach using an ontology, a set of rules, and a repository of educational materials for personalization of diabetes treatment. Their ontology models information relating to four main entities (patient, medical conditions, physical activities, and educational content).…”