A prototype ETL pipeline that uses HL7 FHIR RDF resources when deploying pure functions to enrich knowledge graph patient data
Knowledge graph technology can be augmented with standards-based semantic data processing pipelines for deploying and tracing the use of pure functions to derive new patient-level features from existing data. Semantic data processing pipelines enable research enterprises to report on new patient-level computations of interest with linked metadata that details the origin and background of every new computation.
Authors
- Marisa Conte (ORCID: https://orcid.org/0000-0001-7377-163X)
- Allen Flynn (ORCID: https://orcid.org/0000-0002-3471-3063)
- Anusha Ansari (ORCID: https://orcid.org/0000-0001-6173-9384)
- A. M. Paturkar
Institutions
- Centre for Addiction and Mental Health (CA)
- University of Michigan (US)
Publication Details
- Journal
- Journal of Biomedical Semantics
- Published
- 2025-08-31
- DOI
- https://doi.org/10.1186/s13326-025-00335-4
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00