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Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality.

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Title: Use of machine learning to assess the prognostic utility of radiomic features for in-hospital COVID-19 mortality.
Authors: Sun, Yuming1 (AUTHOR), Salerno, Stephen1 (AUTHOR), He, Xinwei1 (AUTHOR), Pan, Ziyang1 (AUTHOR), Yang, Eileen1 (AUTHOR), Sujimongkol, Chinakorn1 (AUTHOR), Song, Jiyeon1 (AUTHOR), Wang, Xinan2 (AUTHOR), Han, Peisong1 (AUTHOR), Kang, Jian1 (AUTHOR), Sjoding, Michael W.3 (AUTHOR), Jolly, Shruti4 (AUTHOR), Christiani, David C.2,5 (AUTHOR), Li, Yi1 (AUTHOR) yili@umich.edu
Source: Scientific Reports. 5/5/2023, Vol. 13 Issue 1, p1-10. 10p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 5/5/2023, Vol. 13 Issue 1, p1-10. 10p.
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        Value: 10.1038/s41598-023-34559-0
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              Text: 5/5/2023
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