Methods in Medical Informatics

The research line “Methods in Medical Informatics” focuses on the following themes:

1) Studying and applying prediction models; varying from standard statistical regression models to modern non-parametric statistical machine learning methods. In addition, natural language processing from medical text is applied, which means that computational techniques are used for the analysis and synthesis of natural language.

2) The use of causal models to estimate average and individual treatment effects and to help understand why some subgroups may have deviating effects from others.

3) Investigating how effective decision support systems can be developed and how their impact can be measured and evaluated.


The methods studied within this research line are mainly applied in the medical domains of Geriatrics, Intensive Care, Primary Care and Perinatal Care.  

Principal Investigator: Prof. dr. Ameen Abu-Hanna and