5 citations · 7 across the 3 of their papers we have counts for
3 papers
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'…
On the distribution of isometric log-ratio transformations under extra-multinomial count data
Noora Kartiosuo, Joni Virta, Jaakko Nevalainen +2
Compositional data arise when count observations are normalised into proportions adding up to unity. To allow use of standard statistical methods, compositional proportions can be…
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…