Automated mapping of electronic data capture fields to SDTM
Leveraging Siamese networks, it is possible to generate embeddings that efficiently represent data fields in a lower dimensional space. This allows the creation of a system that can automatically map between data schemas at high levels of accuracy. Such systems represent the first step in automating one of the many labor-intensive data management tasks associated with clinical trials.
Authors
- Sushila Shenoy (ORCID: https://orcid.org/0000-0002-5953-1207)
- Eric Yang (ORCID: https://orcid.org/0009-0007-1491-3133)
- Laura Katz
Institutions
- Medidata (United States) (US)
Publication Details
- Journal
- PLoS ONE
- Published
- 2024-11-07
- DOI
- https://doi.org/10.1371/journal.pone.0312721
- Citations
- 1
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.35