Modeling of multicentric and dynamic stroke health data
At a glance
- Project leader : Dr. Georg Spinner
- Project team : Prof. Dr. Philippe Bijlenga, Matteo Delucchi, Prof. Dr. Reinhard Furrer, Dr. Zsolt Kulcsar
- Project budget : CHF 25'000
- Project status : ongoing
- Funding partner : Internal
- Project partner : Hôpitaux universitaires de Genève, Universität Zürich, Universitätsspital Zürich, International Stroke Genetics Consortium (ISGC)
- Contact person : Georg Spinner
Description
The aim of the project is the further development of probabilistic and dynamic modeling of diseases in the form of Bayesian networks in the field of digital health as a central strategic pillar of the newly formed specialist group "Medical Image Analysis and Data Modeling" of the "Computational Health" focus. To this end, two pathologies of stroke are examined using multicentric data: ruptured intracranial aneurysms and ischemic stroke.
Publications
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Delucchi, Matteo; Spinner, Georg R.; Bijlenga, Philippe; Morel, Sandrine; Hostettler, Isabel; Werring, David; Wostrack, Maria; Meyer, Bernhard; Bourcier, Romain; Lindgren, Antti; Bakker, Mark K.; Ruigrok, Ynte M.; Furrer, Reinhard; Hirsch, Sven,
2023.
In:
MDPI.
pp. 46-47.
Available from: https://doi.org/10.3390/ctn7040039