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    Machine learning using the extreme gradient boosting (XGBoost) algorithm predicts 5-day delta of SOFA score at ICU admission in COVID-19 patients von Romeo, Luca, Moccia, Sara, Bernardini, Michele, Migliorelli, Lucia, Berardini, Daniele, Donati, Abele, Carsetti, Andrea, Bocci, Maria Grazia, Wendel Garcia, Pedro David, Guerci, Philippe, Ince, Can, Frontoni, Emanuele, Hilty, Matthias Peter, Alfaro-Farias, Mario, Vizmanos-Lamotte, Gerardo, Tschoellitsch, Thomas, Aguirre-Bermeo, Hernán, Apolo, Janina, Jurkolow, Geoffrey, Delahaye, Gauthier, Staudacher, Dawid L., David, Sascha, Welte, Tobias, Aslanidis, Theodoros, Korsos, Anita, Babik, Barna, Nikandish, Reza, Nova, Alice, Fogagnolo, Alberto, Ceriani, Roberto, Wu, Maddalena A., Cogliati, Chiara, Colombo, Riccardo, Catena, Emanuele, Turrini, Fabrizio, Simonini, Maria Sole, Fabbri, Silvia, Potalivo, Antonella, Gangitano, Gianfilippo, Antonelli, Massimo, Gommers, Diederik, Rodríguez-García, Raquel, Gámez-Zapata, Jorge, Taboada-Fraga, Xiana, Castro, Pedro, Escós-Orta, Jesús, Martín-Delgado, Maria C., Algaba-Calderon, Angela, Franch-Llasat, Diego, Roche-Campo, Ferran, Lozano-Gómez, Herminia, Zalba-Etayo, Begoña, Michot, Marc P., Klarer, Alexander, Schott, Peter, Merki, Lukas, Lambert, Adriana, Laube, Marcus, Wiegand, Jan, Westphalen, Andrea, Salomon, Petra, Hillgaertner, Frank, Petersen, Lina, Ksouri, Hatem, Sridharan, Govind Oliver, Cereghetti, Sara, Boroli, Filippo, Grazioli, Serge, Rimensberger, Peter C., Bürkle, Christian, Fleisch, Isabelle, Lavanchy, Jerome, Perez, Marie-Helene, Ramelet, Anne-Sylvie, Weber, Anja Baltussen, Christ, Andreas, Ceruti, Samuele, Glotta, Andrea, Marquardt, Katharina, Redecker, Hermann, Moret-Bochatay, Mallory, Brem, Jan, Gehring, Nadine, Selz, Daniela, Kleger, Gian-Reto, Pietsch, Urs, Filipovic, Miodrag, Sepulcri, Michael, Heise, Antje, Laurent, Jean-Christophe, Wendel Garcia, Pedro D., Heuberger, Dorothea, Bühler, Philipp, Brugger, Silvio, Fodor, Patricia, Locher, Pascal, Jovic, Marija, Haberthuer, Christoph, Lussman, Roger F., Colak, Elif

    Veröffentlicht in Journal of intensive medicine

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