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Lyu, Xinrui; Fan, Bowen; Hüser, Matthias; Hartout, Philip; Gumbsch, Thomas; Faltys, Martin; Merz, Tobias M; Rätsch, Gunnar; Borgwardt, Karsten (2024). An empirical study on KDIGO-defined acute kidney injury prediction in the intensive care unit. Bioinformatics, 40(Suppl. 1), i247-i256. Oxford University Press 10.1093/bioinformatics/btae212
Faltys, Martin; Neto, Ary Serpa; Cioccari, Luca (2024). Physiological changes after fluid bolus therapy in cardiac surgery patients: A propensity score matched case-control study. Critical care and resuscitation, 26(1), pp. 32-40. College of Intensive Care Medicine of Australia and New Zealand 10.1016/j.ccrj.2023.11.005
de Kok, Jip W T M; de la Hoz, Miguel Á Armengol; de Jong, Ymke; Brokke, Véronique; Elbers, Paul W G; Thoral, Patrick; Castillejo, Alejandro; Trenor, Tomás; Castellano, Jose M; Bronchalo, Alberto E; Merz, Tobias M; Faltys, Martin; van der Horst, Iwan C C; Xu, Minnan; Celi, Leo Anthony; van Bussel, Bas C T; Borrat, Xavier (2023). A guide to sharing open healthcare data under the General Data Protection Regulation. Scientific data, 10(1), p. 404. Nature Publishing Group 10.1038/s41597-023-02256-2
Sauer, Christopher M; Dam, Tariq A; Celi, Leo A; Faltys, Martin; de la Hoz, Miguel A A; Adhikari, Lasith; Ziesemer, Kirsten A; Girbes, Armand; Thoral, Patrick J; Elbers, Paul (2022). Systematic Review and Comparison of Publicly Available ICU Data Sets-A Decision Guide for Clinicians and Data Scientists. Critical care medicine, 50(6), e581-e588. Wolters Kluwer Health 10.1097/CCM.0000000000005517
Wolffers, Oliver; Faltys, Martin; Thomann, Janos; Jakob, Stephan M.; Marschall, Jonas; Merz, Tobias M.; Sommerstein, Rami (2021). An automated retrospective VAE-surveillance tool for future quality improvement studies. Scientific reports, 11(1), p. 22264. Springer Nature 10.1038/s41598-021-01402-3
Hyland, Stephanie L; Faltys, Martin; Hüser, Matthias; Lyu, Xinrui; Gumbsch, Thomas; Esteban, Cristóbal; Bock, Christian; Horn, Max; Moor, Michael; Rieck, Bastian; Zimmermann, Marc; Bodenham, Dean; Borgwardt, Karsten; Rätsch, Gunnar; Merz, Tobias M. (2020). Early prediction of circulatory failure in the intensive care unit using machine learning. Nature medicine, 26(3), pp. 364-373. Springer Nature 10.1038/s41591-020-0789-4
