Machine learning methods for perioperative anesthetic management in cardiac surgery patients: a scoping review

por Rellum, Santino R., Schuurmans, Jaap, van der Ven, Ward H., Eberl, Susanne, Driessen, Antoine H. G., Vlaar, Alexander P. J., Veelo, Denise P.
Publicado 2021

Performance of a machine-learning algorithm to predict hypotension in mechanically ventilated patients with COVID-19 admitted to the intensive care unit: a cohort study

por van der Ven, Ward H., Terwindt, Lotte E., Risvanoglu, Nurseda, Ie, Evy L. K., Wijnberge, Marije, Veelo, Denise P., Geerts, Bart F., Vlaar, Alexander P. J., van der Ster, Björn J. P.
Publicado 2021

Effect of the machine learning-derived Hypotension Prediction Index (HPI) combined with diagnostic guidance versus standard care on depth and duration of intraoperative and postope...

por Rellum, Santino R, Schuurmans, Jaap, Schenk, Jimmy, van der Ster, Björn J P, van der Ven, Ward H, Geerts, Bart F, Hollmann, Markus W, Cherpanath, Thomas G V, Lagrand, Wim K, Wynandts, Paul, Paulus, Frederique, Driessen, Antoine H G, Terwindt, Lotte E, Eberl, Susanne, Hermanns, Henning, Veelo, Denise P, Vlaar, Alexander P J
Publicado 2023

Practice of adjunctive treatments in critically ill COVID–19 patients—rational for the multicenter observational PRoAcT-COVID study in The Netherlands

por Valk, Christel M. A., Swart, Pien, Boers, Leonoor S., Botta, Michela, Bos, Lieuwe D. J., de Abreu, Marcelo Gama, Hol, Liselotte, Hollmann, Markus W., Horn, Janneke, Martin-Loeches, Ignacio, Mazzinari, Guido, Myatra, Sheila N., Nijbroek, Sunny G., Rosenberg, Neeltje M., Stilma, Willemke, Tsonas, Anissa M., van der Ven, Ward H., Neto, Ary Serpa, Schultz, Marcus J., Paulus, Frederique
Publicado 2021