Mining disproportional frequent arrangements of event intervals for investigating adverse drug events
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 …
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 …
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 …
present a unique challenge for classification problems, in which traditional machine learning …