Event
This workshop aims at promoting a discussion around the use of data driven approaches in medical domain, which may help specifically to analyze the impact of several factors on long COVID. In the first part, the invited groups will introduce themselves and their current research and findings on the subject. The results of the collaboration between IRT SystemX and UMCG in the context of an exploratory project will also be presented during this session. During the second part, a discussion around the collaboration perspectives is planned which may open the door to a broader collaboration with European partners.
Program
10:00 – 10:15 am | Introduction
10:15 – 10:25 am | Presentation IRT SystemX
10:25 – 10:55 am | Long covid research at the UMCG – Professor doctor Judith Rosmalen (UMCG)
10:55 – 11:25 am| Prognosis of long covid – Sonja van Ockenburg (UMCG)
11:25 – 11:55 am | Influence of vaccination status, type and sequence on the risk and course of long COVID. A statistical analysis using data-driven techniques – Jean-Patrick Brunet (IRT SystemX) ; Milad Leyli-Abadi (IRT SystemX) ; Ahmadali Tahmasebimoradi (IRT SystemX)
11:55 – 12:05 am| Uncertainty and explainability – Kevin Pasini (IRT SystemX)
12:05 – 12:35 am| Long Covid research at Hôtel Dieu – Professor Cédric Lemogne (Université Paris Cité, APHP) ; Victor Pitron (APHP)
12:35 – 13:35 am|Networking lunch
Registration
Organization
Jean-Patrick Brunet (IRT SystemX)
