Maikore, F. orcid.org/0000-0001-8294-5283, Mazumdar, S. orcid.org/0000-0002-0748-7638, Offiah, A. orcid.org/0000-0001-8991-5036 et al. (4 more authors) (2024) Understanding inflicted injuries in young children: toward an ontology based approach. In: Alam, M., Rospocher, M., van Erp, M., Hollink, L. and Asefa Gesese, G., (eds.) Knowledge Engineering and Knowledge Management. 24th International Conference on Knowledge Engineering and Knowledge Management, 26-28 Nov 2024, Amsterdam, Netherlands. Lecture Notes in Computer Science, 15370 (1). Springer Nature Switzerland , pp. 260-270. ISBN 9783031777912
Abstract
Investigations of children experiencing inflicted injuries is often initiated once admitted into the emergency department for injuries, and involves understanding the complex interactions between a range of different factors such as health conditions, fracture biomechanics, family history, carer accounts and so on. In this position paper, we propose the use of ontologies for capturing case details of such radiology investigations in order to create an initial knowledge base of retrospective cases, to be further expanded in the future. We discuss how we developed our ELECTRICA (ELEctronic knowledge base for Clinicians, Trainers and Researchers in Child Abuse) ontology and the different components of the ontology. We are currently using this ontology to create a knowledge base, to be used as a vision demonstrator to access larger datasets. In the longer term, we would like to use the knowledge base to support clinicians and radiologists in making decisions on current cases by offering a mechanism for searching historical cases, identifying similar cases and offering insights on risk factors that may have been missed during investigations.
Metadata
Item Type: | Proceedings Paper |
---|---|
Authors/Creators: |
|
Editors: |
|
Copyright, Publisher and Additional Information: | © 2024 The Author(s). Except as otherwise noted, this author-accepted version of a paper is published in Knowledge Engineering and Knowledge Management is made available via the University of Sheffield Research Publications and Copyright Policy under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ |
Keywords: | Information and Computing Sciences; Artificial Intelligence; Physical Injury - Accidents and Adverse Effects; Pediatric; Networking and Information Technology R&D (NITRD); Generic health relevance; Good Health and Well Being |
Dates: |
|
Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield) The University of Sheffield > Faculty of Social Sciences (Sheffield) > Information School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 13 Dec 2024 11:26 |
Last Modified: | 13 Dec 2024 12:01 |
Status: | Published online |
Publisher: | Springer Nature Switzerland |
Series Name: | Lecture Notes in Computer Science |
Refereed: | Yes |
Identification Number: | 10.1007/978-3-031-77792-9_16 |
Related URLs: | |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:220624 |