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Anzahl der Publikationen: 3
Zeitschriftenartikel
Schons, Maximilian; Pilgram, Lisa; Reese, Jens-Peter; Stecher, Melanie; Anton, Gabriele; Appel, Katharina S.; Bahmer, Thomas; Bartschke, Alexander; Bellinghausen, Carla; Bernemann, Inga; Brechtel, Markus; Brinkmann, Folke; Bruenn, Clara; Dhillon, Christine; Fiessler, Cornelia; Geisler, Ramsia; Hamelmann, Eckard; Hansch, Stefan; Hanses, Frank; Hanss, Sabine; Herold, Susanne; Heyder, Ralf; Hopff, Sina Marie; Horn, Anna; Jakob, Carolin; Keil, Thomas; Khodamoradi, Yascha; Kohls, Mirjam; Kraus, Monika; Krefting, Dagmar; Kunze, Sonja; Kurth, Florian; Lieb, Wolfgang; Lippert, Lena Johanna; Lorbeer, Roberto; Maetzler, Corina; Miljukov, Olga; Nauck, Matthias; Pape, Daniel; Puntmann, Valentina; Reinke, Lennart; Roemmele, Christoph; Rudolph, Stefanie; Sass, Julian; Schaefer, Christian; Schaller, Jens; Schattschneider, Mario; Scheer, Christian; Scherer, Margarete; Schmidt, Sein; Schmidt, Julia; Seibel, Kristina; Stahl, Dana; Steinbeis, Fridolin; Stoerk, Stefan; Tauchert, Maike; Tebbe, Johannes Josef; Thibeault, Charlotte; Toepfner, Nicole; Ungethuem, Kathrin; Vadasz, Istvan; Valentin, Heike; Wiedmann, Silke; Zoller, Thomas; Nagel, Eike; Krawczak, Michael; Kalle, Christof von; Illig, Thomas; Schreiber, Stefan; Witzenrath, Martin; Heuschmann, Peter und Vehreschild, Jorg Janne
(2022):
The German National Pandemic Cohort Network (NAPKON): rationale, study design and baseline characteristics.
In: European Journal of Epidemiology, Bd. 37, Nr. 8, s10654-022-00896-z: S. 849-870
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; Ruethrich, Maria; Hanses, Frank; Hower, Martin; Strauss, Richard; Massberg, Steffen; Er, Ahmet Gorkem; Jung, Norma; Vehreschild, Joerg Janne; Stubbe, Hans; Tometten, Lukas und Koenig, Rainer
(2021):
Prediction of COVID-19 deterioration in high-risk patients at diagnosis: an early warning score for advanced COVID-19 developed by machine learning.
In: Infection, Bd. 50, Nr. 2: S. 359-370
Jakob, Carolin E. M.; Borgmann, Stefan; Duygu, Fazilet; Behrends, Uta; Hower, Martin; Merle, Uta; Friedrichs, Anette; Tometten, Lukas; Hanses, Frank; Jung, Norma; Rieg, Siegbert; Wille, Kai; Gruener, Beate; Klinker, Hartwig; Gersbacher-Runge, Nicole; Hellwig, Kerstin; Eberwein, Lukas; Dolff, Sebastian; Rauschning, Dominic; Bergwelt-Baildon, Michael von; Lanznaster, Julia; Strauss, Richard; Trauth, Janina; With, Katja de; Ruethrich, Maria; Lueck, Catherina; Nattermann, Jacob; Tscharntke, Lene; Pilgram, Lisa; Fuhrmann, Sandra; Classen, Annika; Stecher, Melanie; Schons, Maximilian; Spinner, Christoph und Vehreschild, Jörg Janne
(2020):
First results of the "Lean European Open Survey on SARS-CoV-2-Infected Patients (LEOSS)".
In: Infection, Bd. 49, Nr. 1: S. 63-73