Visual Analytics

Directive Explanations for Monitoring the Risk of Diabetes Onset: Introducing Directive Data-Centric Explanations and Combinations to Support What-If Explorations

Explainable artificial intelligence is increasingly used in machine learning (ML) based decision-making systems in healthcare. However, little research has compared the utility of different explanation methods in guiding healthcare experts for …

Explaining artificial intelligence with visual analytics in healthcare

To make predictions and explore large datasets, healthcare is increasingly applying advanced algorithms of artificial intelligence. However, to make well-considered and trustworthy decisions, healthcare professionals require ways to gain insights in …

FWO-ARRS project

Improving interpretability and performance of risk prediction models for decision support in clinical environments Main host institution: KU Leuven Supervisor: Katrien Verbert (Informatics Section, KU Leuven) Foreign host institution: University of Maribor