Mark Hoogendoorn


Full professor, Computer Science, Quantitative Data Analytics group

Research focus

Machine learning and its applications for health and wellbeing

Research Description:

My research focuses on machine learning and its applications, the latter primarily applied in the domain of health and wellbeing. The research ranges from more fundamental machine learning research (including efficiency, explainability, safety, incorporating domain knowledge, and hybrid intelligence) to application driven research focusing on for instance predictive modeling for diseases, personalized therapies and support systems, and eHealth and mHealth systems.


Health challenges
Technological challenges

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