Search Results for author:
Found 1 papers, 0 papers with code
Can I trust my fake data -- A comprehensive quality assessment framework for synthetic tabular data in healthcare
We present a conceptual framework for quality assurance of SD for AI applications in healthcare that aligns diverging taxonomies, expands on common quality dimensions to include the dimensions of Fairness and Carbon footprint, and proposes stages necessary to support real-life applications.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
