Corrigendum to “Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases”[Artificial Intelligence in Life Sciences] 1(2021), 100020

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Title:: Corrigendum to “Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases”[Artificial Intelligence in Life Sciences] 1(2021), 100020
Document type:: Zeitschriftenaufsatz
Author(s):: Linden, Thomas; Hanses, Frank; Domingo-Fernández, Daniel; DeLong, Lauren Nicole; Kodamullil, Alpha Tom; Schneider, Jochen; Vehreschild, Maria J.G.T.; Lanznaster, Julia; Ruethrich, Maria Madeleine; Borgmann, Stefan; Hower, Martin; Wille, Kai; Feldt, Torsten; Rieg, Siegbert; Hertenstein, Bernd; Wyen, Christoph; Roemmele, Christoph; Vehreschild, Jörg Janne; Jakob, Carolin E.M.; Stecher, Melanie; Kuzikov, Maria; Zaliani, Andrea; Fröhlich, Holger
Journal title:: Artificial Intelligence in the Life Sciences
Year:: 2022
Journal volume:: 2
Pages contribution:: 100032
Fulltext / DOI:: doi:10.1016/j.ailsci.2022.100032
Publisher:: Elsevier BV
E-ISSN:: 2667-3185
Date of publication:: 01.12.2022
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