Publikationen von Goepel, Siri

Jakob, Carolin E. M., Mahajan, Ujjwal Mukund, Oswald, Marcus, Stecher, Melanie, Schons, Maximilian, Mayerle, Julia, Rieg, Siegbert, Pletz, Mathias , Merle, Uta, Wille, Kai , Borgmann, Stefan, Spinner, Christoph D., Dolff, Sebastian, Scherer, Clemens, Pilgram, Lisa, Rüthrich, Maria, Hanses, Frank, Hower, Martin, Strauß, Richard, Massberg, Steffen, Er, Ahmet Görkem , Jung, Norma, Vehreschild, Jörg Janne, Stubbe, Hans, Tometten, Lukas , 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 und Lablans, Martin (2022) Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning. Infection 50 (2), S. 359-370. Volltext nicht vorhanden.