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.

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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
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article

Automated mapping of electronic data capture fields to SDTM

Sushila Shenoy, Eric Yang, Laura Katz
1 citations
PLoS ONE
Distributed and Parallel Computing Systems
0.35
article

Automated mapping of electronic data capture fields to SDTM

Sushila Shenoy, Eric Yang, Laura Katz
article en
1 citations

Abstract

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.

PLoS ONEVol. 19(11)
Medidata (United States) (US)
Openalex Percentile: Top 37%
Distributed and Parallel Computing Systems
0.35
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