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Featured Article: DMTO: a realistic ontology for standard diabetes mellitus treatment

Knowledge bases underpin the development of clinical decision support systems (CDSS), allowing the incorporation of massive health record data to inform clinical decision-making. In this article, the authors introduce the Diabetes Mellitus Treatment Ontology (DMTO), a comprehensive ontology that provides the highest coverage and most complete coded picture of Type 2 Diabetes Mellitus for use in treatment. This represents a step in the key challenge of developing more-intelligent CDSSs for chronic disease management.

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Editors-in-Chief

Dietrich Rebholz-Schuhmann, National University of Ireland, Ireland
Goran Nenadic, University of Manchester, UK

Aims and scope

Journal of Biomedical Semantics addresses issues of semantic enrichment and semantic processing in the biomedical domain. The scope of the journal covers two main areas:

Infrastructure for biomedical semantics: focusing on semantic resources and repositories, meta-data management and resource description, knowledge representation and semantic frameworks, the Biomedical Semantic Web, and semantic interoperability.

Semantic mining, annotation, and analysis: focusing on approaches and applications of semantic resources; and tools for investigation, reasoning, prediction, and discoveries in biomedicine.

Featured series: BioOntologies SIG

In time for this year's meeting at ISMB, please check out our collection of articles based on last year's meeting. Edited by Karin Verspoor and Anika Oellrich.

Read this collection

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