Robust Risk Estimation

This project deals with theoretical principles, development and application of robust methods in the risk management of complex systems in extreme events.

The HFU sub-project involves the development of regression models, which provide robust, i.e. statistically reliable, estimates of stays in intensive care and the resulting costs. To do so, available clinical data will be analyzed. Particularly extreme or atypical cases of illness caused by complications lead to substantially longer stays, and as a result higher costs, and these will be integrated into the newly developed model. The reliable prognosis of the duration and costs of the stays will lead to a better comparison of wards, clinics and classification schemes of patients, and is particularly important for hospital administration.

Project Partners

Fraunhofer IWTM
TU Kaiserslautern
Universität für Bodenkultur Wien
Furtwangen University

Duration: 3 years, 2011 - 2014, extended until 2016

The project is funded by the Volkswagen Foundation (VW Stiftung).


Prof. Dr. rer. nat. Matthias Kohl
Faculty of Medical and Life Sciences
Dean of Studies Medical Diagnostic Technologies (MDT)
Tel: +49 (0)7720 307-4746
Fax: +49 (0)7720 307-4725
Schwenningen Campus, Room N 8.03
Email: kohl(at)