Machine learning identifies ICU outcome predictors in a multicenter COVID-19 cohort

2021 . Magunia, Harry | Lederer, Simone | Verbuecheln, Raphael | Gilot, Bryant Joseph | Koeppen, Michael | Haeberle, Helene A. | Mirakaj, Valbona | Hofmann, Pascal | Marx, Gernot | Bickenbach, Johannes | Nohe, Boris | Lay, Michael | Spies, Claudia | Edel, Andreas | Schiefenhövel, Fridtjof | Rahmel, Tim | Putensen, Christian | Sellmann, Timur | Koch, Thea | Brandenburger, Timo | Kindgen-Milles, Detlef | Brenner, Thorsten | Berger, Marc | Zacharowski, Kai | Adam, Elisabeth | Posch, Matthias | Moerer, Onnen | Scheer, Christian S. | Sedding, Daniel | Weigand, Markus A. | Fichtner, Falk | Nau, Carla | Prätsch, Florian | Wiesmann, Thomas | Koch, Christian | Schneider, Gerhard | Lahmer, Tobias | Straub, Andreas | Meiser, Andreas | Weiss, Manfred | Jungwirth, Bettina | Wappler, Frank | Meybohm, Patrick | Herrmann, Johannes | Malek, Nisar | Kohlbacher, Oliver | Biergans, Stephanie | Rosenberger, Peter