Title |
Machine learning based prediction of COVID-19 mortality suggests repositioning of anticancer drug for treating severe cases / Thomas Linden, Frank Hanses, Daniel Domingo-Fernández, Lauren Nicole DeLong, Alpha Tom Kodamullil, Jochen Schneider, Maria J.G.T. Vehreschild, Julia Lanznaster, Maria Madeleine Ruethrich, Stefan Borgmann, Martin Hower, Kai Wille, Torsten Feldt, Siegbert Rieg, Bernd Hertenstein, Christoph Wyen, Christoph Römmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich |
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Involved |
Thomas Linden (Verfasser)
Frank Hanses (Verfasser) Daniel Domingo Fernández (Verfasser) Lauren Nicole DeLong (Verfasser)
Alpha Tom Kodamullil (Verfasser)
Jochen Schneider (Verfasser) Maria J. G. T. Vehreschild (Verfasser) Julia Lanznaster (Verfasser) Maria Madeleine Rüthrich (Verfasser) Stefan Borgmann (Verfasser) Martin Hower (Verfasser) Kai Wille (Verfasser) Torsten Feldt (Verfasser) Siegbert Rieg (Verfasser) Bernd Hertenstein (Verfasser) Christoph Wyen (Verfasser) Christoph Römmele (Verfasser) Jörg Janne Vehreschild (Verfasser) Carolin E.M. Jakob (Verfasser) Melanie Stecher (Verfasser) Maria Kuzikov (Verfasser) Andrea Zaliani (Verfasser) Holger Fröhlich (Verfasser) |
Published |
Augsburg: Universität Augsburg |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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DDC notation |
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Persistent identifier |
urn:nbn:de:bvb:384-opus4-935044 (URN) |
Further information |
In: Artificial Intelligence in the Life Sciences, 1, S. 100020- |
Record ID |
1253798672 |
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