Citation

Prity, Fariya Sultana and Hasan, Mohammad Mahmudul and Fahad, Nafiz and Michael Goh, Kah Ong and Hossen, Md Jakir and Islam, Md Munjurul (2025) Developing comprehensive hypertension ontology: Addressing data integration gaps to improve healthcare results. Health Informatics Journal, 31 (2). ISSN 1460-4582

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Abstract

Objective: Therefore, the objective of this study was to design hypertension ontology with the aim of improving integration of data, representation of knowledge and better decision making in hypertension management. Methods: First, we performed a systematic literature review (SLR) across ten different databases aiming at capturing the essential concepts. Using this extracted data a Hypertension Ontology (HPO) was created in Protégé which was loaded and published on BioPortal for availability. Results: HPO contains 114 classes and five properties that structure the risk factors, symptoms, diagnosis, and treatment. It improves knowledge discovery, data sharing capabilities, and surpasses existing hypertension-related ontologies in functionality. Conclusion: HPO facilitates standardized hypertension management in a research context and clinical practices. Next Steps will be integration of Real-world data and Interoperability to HER.

Item Type:	Article
Subjects:	Q Science > QA Mathematics > QA299.6-433 Analysis
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	26 Jun 2025 09:27
Last Modified:	26 Jun 2025 09:27
URII:	http://shdl.mmu.edu.my/id/eprint/14134

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