Mining disproportional frequent arrangements of event intervals for investigating adverse drug events

Z Lee, J Rebane, P Papapetrou - 2020 IEEE 33rd International …, 2020 - ieeexplore.ieee.org
Adverse drug events are pervasive and costly medical conditions, in which novel research
approaches are needed to investigate the nature of such events further and ultimately …

Z-Series: Mining and learning from complex sequential data

Z Lee - 2023 - diva-portal.org
The amount and complexity of sequential data collected across various domains have
grown rapidly, posing significant challenges for extracting useful knowledge from such data …

Learning from Complex Medical Data Sources

J Rebane - 2022 - diva-portal.org
Large, varied, and time-evolving data sources can be observed across many domains and
present a unique challenge for classification problems, in which traditional machine learning …