Medical Data Science
„Medical Data Science“ combines a variety of topics and methods from medical informatics and data processing.
Our main research interests in the team Medical Data Science/Medical Informatics are:
- Medical documentation
- Medical terminology for machine processing
- Architecture of classification-, terminology- and ontology systems
- computer-aided learning modules and methods
In this highly interdisciplinary and international field we are working hand in hand with scientists from biology, medicine, informatics, analytical philosophy, linguistics, education science and biometry. We deal with the processing of medicine-related data, information and knowledge. We use information technology methods in order to support patient care, research and education.
Interim Head
- Machine Learning (esp. Deep Learning)
- Integration of molecular and clinical data
- Support for clinical partners in analyses
- Registry data & routine clinical data analyses
- EVA4MII - Advisory platform for the Medical Informatics Initiative
- Machine Learning (esp. Deep Learning)
- CALM-QE: Privacy-compliant distributed (multimodal) analyses
- Support for clinical partners in analyses
- Routine clinical data analysis
Postal Address
Medical Data Science
Institute of Medical Biometry and Statistics
Medical Center-University of Freiburg
Stefan-Meier-Straße 26
79104 Freiburg
Germany