An ontology-based method for formalizing and encoding patient colonoscopy preparation using BPMN and OWL2 for automated tool development.
Year: 2025
Type: article
Abstract: 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.
Source: PubMed
Authors: Muhammad Amith, Yue Yu, Yuheng Shi, Brooks Cash, Barani Mayilvaganan, Anirudh Babu, Yang Gong
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: Transforming motivational interviewing into a computable model for automated patient diabetic counseling., AI-based conversational agent for facilitating education and communication about HPV vaccination in children and adolescents, Standardizing and Harmonizing Behavioral and Social Science Research Factors in Alzheimer's Disease through Ontology-Based Approaches
OpenAlex ID: W4414625224
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