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At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.

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Title: At-admission prediction of mortality and pulmonary embolism in an international cohort of hospitalised patients with COVID-19 using statistical and machine learning methods.
Authors: Mesinovic, Munib1 (AUTHOR) munib.mesinovic@jesus.ox.ac.uk, Wong, Xin Ci2 (AUTHOR), Rajahram, Giri Shan3 (AUTHOR), Citarella, Barbara Wanjiru4 (AUTHOR), Peariasamy, Kalaiarasu M.2 (AUTHOR), van Someren Greve, Frank5 (AUTHOR), Olliaro, Piero4 (AUTHOR), Merson, Laura4 (AUTHOR), Clifton, Lei6 (AUTHOR), Kartsonaki, Christiana6 (AUTHOR), Abdukahil, Sheryl Ann7 (AUTHOR), Abdulkadir, Nurul Najmee8 (AUTHOR), Abe, Ryuzo9 (AUTHOR), Abel, Laurent10 (AUTHOR), Abrous, Amal10 (AUTHOR), Absil, Lara11 (AUTHOR), Acker, Andrew12 (AUTHOR), Adachi, Shingo13 (AUTHOR), Adam, Elisabeth14 (AUTHOR), Adriano, Enrico15 (AUTHOR)
Source: Scientific Reports. 7/16/2024, Vol. 14 Issue 1, p1-43. 43p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Scientific+Reports%22">Scientific Reports</searchLink>. 7/16/2024, Vol. 14 Issue 1, p1-43. 43p.
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