Prediction of COVID-19 severity using machine learning

Kanita Karaduzovic-Hadziabdic , Muhamed Adilovic , Lu Zhang , Andrew I Lumley , Pranay Shah , Muhammad Shoaib , Venkata Satagopam , Prashant Kumar Srivastava , Costanza Emanueli , Simona Greco , Alisia Madè , Teresa Padro , Pedro Domingo , Mitja Lustrek , Markus Scholz , Maciej Rosolowski , Marko Jordan , Bettina Benczik , Bence Ágg , Péter Ferdinandy , Andrew H Baker , Guy Fagherazzi , Markus Ollert , Joanna Michel , Gabriel Sanchez , Hüseyin Firat , Timo Brandenburger , Fabio Martelli , Lina Badimon , Yvan Devaux

Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (10) : e70042

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Clinical and Translational Medicine ›› 2024, Vol. 14 ›› Issue (10) : e70042 DOI: 10.1002/ctm2.70042
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Prediction of COVID-19 severity using machine learning

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Kanita Karaduzovic-Hadziabdic, Muhamed Adilovic, Lu Zhang, Andrew I Lumley, Pranay Shah, Muhammad Shoaib, Venkata Satagopam, Prashant Kumar Srivastava, Costanza Emanueli, Simona Greco, Alisia Madè, Teresa Padro, Pedro Domingo, Mitja Lustrek, Markus Scholz, Maciej Rosolowski, Marko Jordan, Bettina Benczik, Bence Ágg, Péter Ferdinandy, Andrew H Baker, Guy Fagherazzi, Markus Ollert, Joanna Michel, Gabriel Sanchez, Hüseyin Firat, Timo Brandenburger, Fabio Martelli, Lina Badimon, Yvan Devaux. Prediction of COVID-19 severity using machine learning. Clinical and Translational Medicine, 2024, 14(10): e70042 DOI:10.1002/ctm2.70042

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2024 The Author(s). Clinical and Translational Medicine published by John Wiley & Sons Australia, Ltd on behalf of Shanghai Institute of Clinical Bioinformatics.

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