Ein interdisziplinärer Data-Science-Prozess zur effektiven Nutzbarmachung medizinischer Register- und Studiendaten
IDEN: An interdisciplinary data science process for the effective utilisation of medical register and study data
Brief description
In this project, funded by the Federal Ministry of Education and Research, concepts for the modelling of study and register data, taking into account censored data, are identified for various questions and a suitable transfer of results is identified.
Project data
Contact person at DISO
Cooperation partners
- Prof. Dr. Gunter Grieser (h_da, Department of Computer Science)
- Dr. Heiko Götte (Merck Healthcare KGaA)
- Armin Schüler (Merck Healthcare KGaA)
- German Organ Procurement Organization
- Accso GmbH
Time period
Since April 2022