Ontology-Based Software Aiding in Treating Diabetes

June 5, 2014 / Melody Smith / Comments Off on Ontology-Based Software Aiding in Treating Diabetes

Arab Open University’s (AOU) branch in Oman has developed software for detection and risk assessment of diabetes and other related diseases. This software is ontology driven and is known as Decision Support System. It was developed as part of the Research Council (TRC) Open Research Grant program. AOU was awarded this project in 2012. Times of Oman brought this news to us in their article, “Arab Open University in Oman develop Diabetics Risk Assessment Software.”

Existing decision support systems (DSS) for diabetes mellitus are not intelligent and adaptive, and do not maintain relevant history of patients for future diagnosis. The proposed system uses an ontological framework for the development of a knowledge-based DSS to assist medical professionals to handle diabetes and predict the risk assessment factors of diabetes in hypertension, kidney disorders, and cardiovascular diseases.

Ontologies and other controlled vocabularies help ensure that machine-assisted or fully automated indexing is comprehensive, regardless of what you are indexing. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies to make their information findable.

Melody K. Smith

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Melody Smith

Melody K. Smith has provided organizational, social media and digital communication services to a large non-profit for the past twenty years. Prior to that she championed employee engagement and communications in the healthcare field. She holds a Bachelors degree in Marketing. When not wrangling and writing TaxoDiary content for your reading pleasure, Melody writes fiction, rescues dogs and throws legendary dinner parties.