Schedule
08:00 – 08:30
Registration
08:30 – 09:00
Welcome Address by the General Chairs
(Wolfgang Nejd)
09:00 – 10:00
Causal methods in medicine
(Niels Peek)
10:00 – 10:25
Estimating causal effects from patient trajectories
(Stefan Feuerriegel)
10:25 – 10:50
Morning Break
10:50 – 12:35
Medical Use Cases
Predictive Modeling of Postoperative Performance in Cochlear Implantation:
A Machine Learning Approach
Long-term kidney graft survival: reliable prognostication and patient stratification with factors from the first transplant year
Personalized prediction of mortality risks in chronic kidney disease patients
Rules as an Interface Between Computer Science and Medicine for Building an Artificial Intelligence-Based Support App in Genetic Counseling
An Association Analysis between EQ-5D-3L Items for Post-Stroke Patients
12:30 – 12:40
Poster spotlight talks (2 min. each), 1 slide
12:40 – 14:00
Lunch & Poster session in basement
14:00 – 15:00
Causal Inference and Large Language Models: A New Frontier
(Amit Sharma)
15:00 – 16:00
Causal Modelling
Completing Causal Models by Estimating Average Treatment Effects
IVP-VAE: Modeling EHR Time Series with Initial Value Problem Solvers
Development and Evaluation of a Personalized Ensemble Model for Infection Risk Prediction in Chronic Lymphocytic Leukaemia Patients Using Heterogeneous Data Sources
16:00 – 16:30
Afternoon Break
16:30 – 17:30
Assessing Human Factors
An Ethics Perspective on the Role of Explainability in the Context of AI Applications in Medicine
AI Based Suicide Risk Assessment
Some ideas towards building
libraries of (human) mistakes
17:30 – 18:30
Poster Presentations & Mixer
