Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases

Machine Learning Based Prediction of COVID-19 Mortality Suggests Repositioning of Anticancer Drug for Treating Severe Cases

Despite available vaccinations COVID-19 case numbers around the world are still growing, and effective medications against severe cases are lacking. In this work, we developed a machine learning model which predicts mortality for COVID-19 patients using data from the multi-center ‘Lean European Open...

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Bibliographic Details
Main Authors: 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 Roemmele, Jörg Janne Vehreschild, Carolin E.M. Jakob, Melanie Stecher, Maria Kuzikov, Andrea Zaliani, Holger Fröhlich
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Artificial Intelligence in the Life Sciences
Subjects:
Machine learning
Explainable ai
Precision medicine
Covid19
Drug repositioning
Online Access:http://www.sciencedirect.com/science/article/pii/S2667318521000209

Internet

http://www.sciencedirect.com/science/article/pii/S2667318521000209

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