Ecosyste.ms: Papers

Papers: 10.1007/s15010-021-01656-z

https://doi.org/10.1007/s15010-021-01656-z

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

Cited by: 16
Author(s): Carolin E. M. Jakob, Ujjwal Mukund Mahajan, Marcus Oswald, Melanie Stecher, Maximilian Schons, Julia Mayerle, Siegbert Rieg, Mathias W. Pletz, Uta Merle, Kai Wille, Stefan Borgmann, Christoph D. Spinner, Sebastian Dolff, Clemens Scherer, Lisa Pilgram, Maria Madeleine Rüthrich, Frank Hanses, Martin Hower, Richard Strauß, Steffen Maßberg, Ahmet Er, Norma Jung, Jörg Janne Vehreschild, Hans Stubbe, Lukas Tometten, Rainer König, Lukas Tometten, Siegbert Rieg, Uta Merle, Kai Wille, Stefan Borgmann, Christoph D. Spinner, Sebastian Dolff, Maria Madeleine Rüthrich, Frank Hanses, Martin Hower, Richard Strauß, Murat Akova, Norma Jung, Michael von Bergwelt‐Baildon, Maria J. G. T. Vehreschild, Beate Grüner, Martina Haselberger, Nora Isberner, Christiane Piepel, Kerstin Hellwig, Dominic Rauschning, Lukas Eberwein, Björn Jensen, Claudia Raichle, Gabriele Müller-Jörger, Sven Stieglitz, Thomas Kratz, Christian Degenhardt, Anette Friedrichs, Robert Bals, Susanne Rüger, Katja de With, Katja Rothfuss, Siri Goepel, Jacob Nattermann, Sabine Jordan, Jessica Rüddel, Janina Trauth, Gernot Beutel, Özlem Altuntaş Aydın, Milena Milovanovic, Michael Doll, Jörg Janne Vehreschild, Lisa Pilgram, Melanie Stecher, Carolin E. M. Jakob, Maximilian Schons, Annika Y. Claßen, Sandra Fuhrmann, Susana Nunes de Miranda, Bernd Franke, Nick Schulze, Fabian Praßer, Martin Lablans
Published: over 3 years ago

Software Mentions 14