3 papers
stat.ME2026
Data anonymization in the presence of outliers via invariant coordinate selection
Katariina Perkonoja, Joni Virta
Protecting confidential data while preserving utility is particularly challenging when data sets contain outlying observations. Existing latent space anonymization methods, such as…
cs.LG2026
Evaluation metrics for temporal preservation in synthetic longitudinal patient data
Katariina Perkonoja, Parisa Movahedi, Antti Airola +2
This study introduces a set of metrics for evaluating temporal preservation in synthetic longitudinal patient data, defined as artificially generated data that mimic real patients'…
stat.ME2024
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
Katariina Perkonoja, Kari Auranen, Joni Virta
The rapid growth in data availability has facilitated research and development, yet not all industries have benefited equally due to legal and privacy constraints. The healthcare s…