Overview of eIQ Data Classification

This article is currently being updated. Please come back later for updates.

eIQ Data Classification uses machine learning LLM and NLP techniques to automatically apply SDTM / CDASH standard concept names and labels to incoming data. These commonly classified domains, field names, and field labels are viewed within Metadata and include the algorithm-generated similarity score next to each match. The concept names and labels are viewable in Data Central Visualizations as additional supporting information for each variable, and are planned to be utilized in the creation of reusable cross-study objects, such as Data Central Visualizations, without additional mapping in future enhancements.

For details on how this model is used within Metadata, visit the Use the Browse Tab in Metadata article within the Metadata section.

Was this article helpful?

0 out of 0 found this helpful

Have more questions? Submit a request