ArticleJournal of biomedical semantics2018
DMTO: a realistic ontology for standard diabetes mellitus treatment.
Article in Journal of biomedical semantics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.
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Who cites it
22 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Using clinical reasoning ontologies to make smarter clinical decision support systems: a systematic review and data synthesis.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Data, Process, and Data-Driven Representations of Digital Twins in Diabetes: Scoping Review.JMIR diabetes · 2026Review
- Article
- A comparison of Fast Healthcare Interoperability Resources and Observational Medical Mutcomes Partnership electronic health record data within the All of Us Research Program.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Modeling Diabetes Risk and Progression With Public Health Data: Ontology-Guided, Simulation-Capable Digital Twin Study.JMIR medical informatics · 2026Article
- A drug prescription recommendation system based on novel DIAKID ontology and extensive semantic rules.Health information science and systems · 2024Article
- Development and application of Chinese medical ontology for diabetes mellitus.BMC medical informatics and decision making · 2024Article
- Semantically enabling clinical decision support recommendations.Journal of biomedical semantics · 2023Article
- [Ontologies Applied in Clinical Decision Support Systems for Diabetes].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2023Review
- Telehealth System Based on the Ontology Design of a Diabetes Management Pathway Model in China: Development and Usability Study.JMIR medical informatics · 2022Article
- Ontology for Symptomatic Treatment of Multiple Sclerosis.Healthcare informatics research · 2022Article
- OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors.BMC medical informatics and decision making · 2022Article
- The Representation of Causality and Causation with Ontologies: A Systematic Literature Review.Online journal of public health informatics · 2022Review
- An ontology network for Diabetes Mellitus in Mexico.Journal of biomedical semantics · 2021Article
- Pathway-Driven Coordinated Telehealth System for Management of Patients With Single or Multiple Chronic Diseases in China: System Development and Retrospective Study.JMIR medical informatics · 2021Article
- OnTARi: an ontology for factors influencing therapy adherence to rehabilitation.BMC medical informatics and decision making · 2021Article
- Toward the creation of an ontology for the coupling of atmospheric electricity with biological systems.International journal of biometeorology · 2021Article
- Biomedical Holistic Ontology for People with Rare Diseases.International journal of environmental research and public health · 2020Article
- DES-ROD: Exploring Literature to Develop New Links between RNA Oxidation and Human Diseases.Oxidative medicine and cellular longevity · 2020Article
- A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.BMC medical informatics and decision making · 2019Article
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Authors and funding
4 authors.
Funding
Abstract
backgroundTreatment of type 2 diabetes mellitus (T2DM) is a complex problem. A clinical decision support system (CDSS) based on massive and distributed electronic health record data can facilitate the automation of this process and enhance its accuracy. The most important component of any CDSS is its knowledge base. This knowledge base can be formulated using ontologies. The formal description logic of ontology supports the inference of hidden knowledge. Building a complete, coherent, consistent, interoperable, and sharable ontology is a challenge.
resultsThis paper introduces the first version of the newly constructed Diabetes Mellitus Treatment Ontology (DMTO) as a basis for shared-semantics, domain-specific, standard, machine-readable, and interoperable knowledge relevant to T2DM treatment. It is a comprehensive ontology and provides the highest coverage and the most complete picture of coded knowledge about T2DM patients' current conditions, previous profiles, and T2DM-related aspects, including complications, symptoms, lab tests, interactions, treatment plan (TP) frameworks, and glucose-related diseases and medications. It adheres to the design principles recommended by the Open Biomedical Ontologies Foundry and is based on ontological realism that follows the principles of the Basic Formal Ontology and the Ontology for General Medical Science. DMTO is implemented under Protégé 5.0 in Web Ontology Language (OWL) 2 format and is publicly available through the National Center for Biomedical Ontology's BioPortal at http://bioportal.bioontology.org/ontologies/DMTO . The current version of DMTO includes more than 10,700 classes, 277 relations, 39,425 annotations, 214 semantic rules, and 62,974 axioms. We provide proof of concept for this approach to modeling TPs.
conclusionThe ontology is able to collect and analyze most features of T2DM as well as customize chronic TPs with the most appropriate drugs, foods, and physical exercises. DMTO is ready to be used as a knowledge base for semantically intelligent and distributed CDSS systems.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.