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Hypertension Ontology
Last uploaded:
September 4, 2019
| Acronym | HTN |
| Visibility | Public |
| Description | The Hypertension Ontology is a realism-based reference ontology for semantically managing clinical data about hypertension. Definitions of hypertension and elevated blood pressure are highly sensitive to context. Thresholds may vary according to population, guidelines, or clinical context. Variations in the clinical interpretation of blood pressure pose challenges to using blood pressure data for cohort identification, semantic data integration across data sets, and semantically enriching clinical data for clinical decision support applications. The Hypertension Ontology provides a framework for connecting clinical data to context-sensitive definitions of elevated blood pressure and hypertension. |
| Status | Production |
| Format | OWL |
| Contact | Amanda Hicks, aellenhicks@gmail.com |
| Categories | Other |
| Groups | OBO Foundry |
- Hypertension-Ontology
- The Hypertension Ontology, developed using the Protege tool, serves as a comprehensive knowledge framework for representing and organizing information related to hypertensive disorders. This ontology is designed to capture various aspects of hypertension, including its types, causes, and associated risks, with the aim of providing valuable insights for healthcare professionals, researchers, and policymakers. Leveraging the power of Protege, the ontology employs the OWL (Web Ontology Language) format to define classes, properties, and relationships, ensuring semantic clarity and interoperability. The taxonomy within the ontology encompasses a wide range of hypertensive conditions, allowing for detailed classification and representation. The ontology facilitates queries and exploration of hypertensive data through the use of the DL Query module in Protege, offering a practical tool for evaluating its usefulness. To enhance accessibility, the ontology is made available for download, enabling seamless integration into existing healthcare information systems. Its development involved a rigorous review of scientific literature and consideration of established methodologies, ensuring its alignment with best practices in ontology engineering. This Hypertension Ontology aims to contribute to the advancement of hypertension research, clinical practice, and healthcare decision-making.