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. |
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| 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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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-023-34559-0 |