Abstract
Diabetes mellitus is a major cause of morbidity and mortality in humans. Early diagnosis is the first step toward the management of this condition. However, a diagnosis involves several variables, which makes it difficult to arrive at an accurate and timely diagnosis and to construct accurate personalized treatment plans. An electronic health record system requires an integrated decision support capability, and ontologies are rapidly becoming necessary for the design of efficient, reliable, extendable, reusable, and semantically intelligent knowledge bases. In this study, we take the first step in this direction, by designing an OWL2 diabetes diagnosis ontology (DDO). Protege 5 software was used for the construction of the ontology. DDO is developed within the framework of the basic formal ontology and the ontology for general medical science to represent entities in the domain of diabetes, and it follows the design principles recommended by the Open Biomedical Ontology Foundry. Currently, DDO contains 6444 concepts, 48 properties, 13,551 annotations, and 27,127 axioms. DDO can serve as a diabetes knowledge base and supports automatic reasoning. It represents a major step toward the development of a new generation of patient-centric decision support tools. DDO is available through BioPortal at: http://www.bioportal.bioontology.org/ontologies/DDO .
Highlights
Diabetes mellitus (DM) encompasses a group of metabolic disorders characterized by a chronic hyperglycemic condition, resulting from defects in insulin secretion, insulin action, or both
It is predicted that it will be the seventh leading cause of death by 2030.1 According to the International Diabetes Federation (IDF),2 387 million people worldwide were living with DM in 2014
We propose Diabetes Mellitus Diagnosis Ontology (DDO), which will be encoded in the OWL 2 format by using the Protégé 5 tool
Summary
Diabetes mellitus (DM) encompasses a group of metabolic disorders characterized by a chronic hyperglycemic condition, resulting from defects in insulin secretion, insulin action, or both. It is predicted that it will be the seventh leading cause of death by 2030.1 According to the International Diabetes Federation (IDF), 387 million people worldwide were living with DM in 2014. This number is expected to increase to over 592 million (~10 % of the world’s population) by 2035. In addition to the financial burden of diabetes, diabetes is associated with an increased risk of morbidity and mortality. The American Diabetes Association (Anyanwagu et al 2015) categorizes diabetes into two main types: type-I and type-II
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