An Ontology-Based Approach for Understanding Appendicectomy Processes and Associated Resources
By systematically representing this knowledge, this study establishes a foundation for enhancing clinical decision making, improving data integration, and ultimately advancing patient care. Future research can leverage this ontology to optimise healthcare workflows and outcomes in appendicectomy management.
Authors
- Xubing Hao (ORCID: https://orcid.org/0000-0003-2207-4097)
- Nadeesha Pathiraja Rathnayaka Hitige (ORCID: https://orcid.org/0000-0003-2749-4816)
- Licong Cui (ORCID: https://orcid.org/0000-0001-5549-8780)
- Kimberley J. Davis (ORCID: https://orcid.org/0000-0002-7835-7259)
- Ping Yu (ORCID: https://orcid.org/0000-0002-7910-9396)
- Steven J. Craig (ORCID: https://orcid.org/0000-0001-6403-7863)
- Ting Song (ORCID: https://orcid.org/0000-0001-5858-6495)
Institutions
- University of Wollongong (AU)
- Shoalhaven District Memorial Hospital (AU)
- Illawarra Shoalhaven Local Health District (AU)
- Rajarata University of Sri Lanka (LK)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Healthcare
- Published
- 2024-12-24
- DOI
- https://doi.org/10.3390/healthcare13010010
- Citations
- 1
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.23