Semantics in action: a guide for representing clinical data elements with SNOMED CT
Abstract Background Clinical data is abundant, but meaningful reuse remains lacking. Semantic representation using SNOMED CT can improve research, public health, and quality of care. However, the lack of applied guidelines to industrialise the process hinders sustainability and reproducibility. This...
Saved in:
| Main Authors: | Julien Ehrsam, Christophe Gaudet-Blavignac, Mirjam Mattei, Monika Baumann, Christian Lovis |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-03-01
|
| Series: | Journal of Biomedical Semantics |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13326-025-00326-5 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Developing an Ontology to Enhance Semantic Interoperability in IoT Environment
by: Maria Cornejo-Lupa, et al.
Published: (2025-05-01) -
Enhancing Biomedical Semantic Annotations through a Knowledge Graph-Based Approach
by: Asim Abbas, et al.
Published: (2023-05-01) -
Information Content Methods for Semantic Similarity: An Experimental Assessment
by: Antonio de Nicola, et al.
Published: (2025-01-01) -
Standards in sync: five principles to achieve semantic interoperability for TRUE research for healthcare
by: Rhonda Facile, et al.
Published: (2025-06-01) -
Ontology-guided clustering enables proteomic analysis of rare pediatric disorders
by: Ericka C M Itang, et al.
Published: (2025-05-01)