Stroke DynamiX
Graphical and Causal Networks for Personalized Stroke Management
At a glance
- Project leader : Dr. Georg Spinner
- Co-project leader : Prof. Dr. Reinhard Furrer, Dr. Zsolt Kulcsar
- Deputy of project leader : Prof. Dr. Sven Hirsch
- Project team : Matteo Delucchi, Dr. Norman Juchler
- Project budget : CHF 599'866
- Project status : ongoing
- Funding partner : Public sector (excl. federal government) (Kanton Zürich / Digitalisierungsinitiative DIZH)
- Project partner : Universitätsspital Zürich, Hôpitaux universitaires de Genève
- Contact person : Georg Spinner
Description
Stroke DynamiX explores data-driven stroke management using machine-learning techniques in a consortium of statistics researchers, translational enablers, and clinical partners. We implement statistical tools to dynamically model stroke epidemiologically and predict real-time sepsis onset in the clinic.
Further information
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