An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development.
Colonoscopy is a proven procedure for mitigating the incidence of colorectal cancers in late adulthood. Despite its effectiveness, colonoscopy preparation presents several challenges for patients, including issues with adherence and misunderstanding. Information and communication technology (ICT) tools may offer valuable support for modern patients. To enable such tools, computable knowledge bases are essential. In this paper, we describe the development of an ontology-based knowledge graph representing four laxative-based pre-colonoscopy procedures. We used the business process modeling and notation and OWL2 formalisms to manifest machine-readable artifacts that model processes of colonoscopy preparation. Future work will focus on integrating extended knowledge bases from biomedical ontologies and developing prototype ICT tools to support decision-making in colonoscopy preparation.
Authors
- A. B. Karthick Anand Babu
- Barani Mayilvaganan
- Yang Gong (ORCID: https://orcid.org/0000-0002-0864-8368)
- Brooks D. Cash (ORCID: https://orcid.org/0000-0002-8497-3349)
- Muhammad Amith (ORCID: https://orcid.org/0000-0003-4333-1857)
- Yue Yu (ORCID: https://orcid.org/0000-0002-0860-6643)
- Yuheng Shi (ORCID: https://orcid.org/0000-0001-9483-4767)
Institutions
- John Sealy Hospital (US)
- The University of Texas Health Science Center (US)
- The University of Texas Medical Branch at Galveston (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- PubMed
- Published
- 2025-01-01
- Primary Topic
- Semantic Web and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00