Projects
Federated Artificial Intelligence In Big Data And Healthcare Using Real-World Setting KU Leuven
Multiple sclerosis (MS) is an inflammatory disorder of the brain and spinal cord, where the body's immune system incorrectly attacks its own central nervous system (CNS), causing variable and unpredictable symptoms. Some examples of clinical symptoms include slurred speech, blurred vision, loss of balance, poor coordination, tremors, numbness, extreme fatigue, problems with memory and concentration, paralysis, and blindness. MS affects more ...
Using ‘real-world’ data to gain knowledge on medication safety during pregnancy: towards a ‘fit-for-purpose’ registration system on maternal medication use and mother-infant outcomes (BELpREG). KU Leuven
Measuring diversity and systematic risk from derivative market data and mapping to real-world probability statements KU Leuven
"Never put all your eggs in one basket". Most investors are well aware of this advice and often prefer to invest in a blend of different stocks. This is generally considered as a prudent and risk reducing strategy because losses caused by some of the assets may be countered by gains caused by others. However, periods of high market stress are typically linked to high levels of co-movement, implying that the diversification benefit is ...
High performance decision support systems for multiple sclerosis treatment effectiveness in a real-world setting Hasselt University
Multivariate time series forecasting and classification using intrinsically explainable machine learning models to solve real-world problems. Hasselt University
Identification of Real-World Trunk Biomarkers for Fall Risk Detection KU Leuven
Integrating machine learning into heuristic optimization: How can we develop high-performing algorithms for real-world problems with graph-based representation? KU Leuven
Optimization problems are everywhere in our daily lives. Consider for example the truck deliveries of a wholesaler to its different national stores. Important decisions include the routes of each truck, the product types and quantities included in a delivery and the frequency of deliveries. These decisions are crucial for the wholesaler, since they have a direct impact on the product availability in its stores (and hence the sales), but also ...
Data Science Approaches for the Analysis and Interpretation of Training Load Data of Athletes KU Leuven
Research on the analysis of real-world sports data dates back at least to 1958 (Lindsey 1959; Rubin 1958). Advances in technology have caused an explosion of the amount of sports-related data about sports. The abundance of data has attracted the interest of both the academic community and the industry. The aim of this sports analytics community is to leverage the available data to help decision makers to gain a competitive advantage (Alamar ...
Using ‘real world’ data to enhance medication safety during pregnancy: towards a ‘fit-for-purpose’ registration system on maternal medication use and mother-infant outcomes (BELpREG) KU Leuven
Evidence on medication safety in pregnancy is lacking for most products, despite their frequent use. As randomized controlled trials cannot be performed in this population, opportunities of ‘real-world’ data collection for pharmacoepidemiologic research should be fully exploited. In 2021, a prototype of a comprehensive registration system on maternal medication use and mother-infant outcomes (BELpREG) was developed at KU Leuven, allowing data ...