| Grant period | 2018-01-01 - 2021-12-31 |
| Funding body | Federal Ministry of Education and Research |
| BMBF | |
| Grant number | grant.7970410 |
| Identifier | G:(BMBF)01ZZ1803M |
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Dissertation / PhD Thesis
Developing personalized prediction models for acute respiratory distress syndrome in the intensive care unit
Aachen : RWTH Aachen University 1 Online-Ressource : Illustrationen (2024) [10.18154/RWTH-2024-11488] = Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2024
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Journal Article
A hybrid modeling framework for generalizable and interpretable predictions of ICU mortality across multiple hospitals
Scientific reports 14, 5725 (2024) [10.1038/s41598-024-55577-6]
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Journal Article/Contribution to a conference proceedings
Algorithmic distinction of ARDS and Heart Failure in ICU data from medical embedded systems by using a computer model
4. IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, CESCIT 2021, ValenciennesValenciennes, France, 5 Jul 2021 - 7 Jul 2021
IFAC-PapersOnLine 54(4), 135-140 (2021) [10.1016/j.ifacol.2021.10.023] special issue: "4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control CESCIT 2021 Valenciennes, France, 5-7 July 2021 / Edited by Ajith Abraham"
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