Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning

2021 . Mahajan, Ujjwal Mukund | Oswald, Marcus | Mayerle, Julia | Pletz, Mathias | Spinner, Christoph D. | Scherer, Clemens | Rüthrich, Maria | Massberg, Steffen | Er, Ahmet Görkem | Stubbe, Hans | König, Rainer | Tometten, Lukas | Rieg, Siegbert | Merle, Uta | Wille, Kai | Borgmann, Stefan | Spinner, Christoph | Dolff, Sebastian | Rüthrich, Maria Madeleine | Hanses, Frank | Hower, Martin | Strauß, Richard | Akova, Murat | Jung, Norma | von Bergwelt-Baildon, Michael | Vehreschild, Maria | Grüner, Beate | Haselberger, Martina | Isberner, Nora | Piepel, Christiane | Hellwig, Kerstin | Rauschning, Dominic | Eberwein, Lukas | Jensen, Björn | Raichle, Claudia | Müller-Jörger, Gabriele | Stieglitz, Sven | Kratz, Thomas | Degenhardt, Christian | Friedrichs, Anette | Bals, Robert | Rüger, Susanne | With, Katja | Rothfuss, Katja | Goepel, Siri | Nattermann, Jacob | Jordan, Sabine | Rüddel, Jessica | Trauth, Janina | Beutel, Gernot | Aydin, Ozlem Altuntas | Milovanovic, Milena | Doll, Michael | Vehreschild, Jörg Janne | Pilgram, Lisa | Stecher, Melanie | Jakob, Carolin E. M. | Schons, Maximilian | Claßen, Annika | Fuhrmann, Sandra | de Miranda, Susana Nunes | Franke, Bernd | Schulze, Nick | Prasser, Fabian | Lablans, Martin