ONTOLOGY-BASED MODELING OF MEDICAL PROFILES OF DIABETIC PATIENTS

Session Name
INFORMATICS IN THE SERVICE OF MEDICINE; TELEMEDICINE, SOFTWARE AND OTHER TECHNOLOGIES
Session Type
E-POSTER VIEWING (EXHIBITION HOURS)
Date
20.02.2020, Thursday
Session Time
09:30 - 15:30
Channel
E-Poster Area
Lecture Time
09:36 - 09:37
Presenter
  • Maricela C. Bravo, Mexico
Authors
  • Maricela C. Bravo, Mexico
  • Jose A. Reyes-ortiz, Mexico
  • Luis F. Hoyos-reyes, Mexico

Abstract

Background and Aims

An ontology model is presented that represents medical and metabolic profiles of type 2 diabetic patients. This model is constructedas follows: Design of the ontology contemplating the most relevant aspects of the treatment, such as the patient's medical profile (hereditary-family history, patient's medical history, signs, symptoms, diet, physical activity, and complications of diabetes). Construction of the ontology model by acquiring data of diabetic patients, and biomedical data. Development of a rule-based knowledge base to reason about the metabolic profile of diabetic patients. Finally, the evaluation of the ontological model.

Methods

Ontology Requirements. Identification of the scope of the ontology, the definition of possible scenarios, users, the competence of the ontology, and the quality characteristics.

Ontology Design. Consists of: term elicitation, hierarchical relationships definition, data properties relationships definition, object properties relationships definition, and axiomatization.

Ontology Construction. Instantiating the ontology with individuals, relations and axioms. Consistency checking is executed to verify that none of the class definitions and axioms has logical contradictions.

Ontology Evaluation. Evaluation of the ontology by competency questions.

Results

The resulting ontology system is composed of 2201 axioms, 195 classes, 22 object properties, 46 data properties, and 310 individuals. The level of DL expressivity is ALCHOIN(D),

Conclusions

An ontology model is presented focusing on Type 2 Diabetes Mellitus, which has several therapeutic options. This ontological model will serve as a broad knowledge base on the relevant aspects related to the therapy and medical treatment of diabetes. .

Hide