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Beta blockers may be protective in COVID-19; findings of a ..:
Alahmadi, Alaa
;
Alansari, Aisha
;
Alsheikh, Nawal
...
Informatics in Medicine Unlocked. 42 (2023) - p. 101341 , 2023
Link:
https://doi.org/10.1016/j.imu.2023.101341
RT Journal T1
Beta blockers may be protective in COVID-19; findings of a study to develop an interpretable machine learning model to assess COVID-19 disease severity in light of clinical findings, medication history, and patient comorbidities
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.imu.2023.101341&Exemplar=1&LAN=DE A1 Alahmadi, Alaa A1 Alansari, Aisha A1 Alsheikh, Nawal A1 Alshammasi, Salam A1 Alshamery, Mona A1 Al-abdulmohsin, Rand A1 Al Rabia, Laila A1 Al Nass, Fatimah A1 Alghamdi, Manar A1 Almustafa, Sarah A1 Aljamea, Zainab A1 Kurdi, Sawsan A1 Islam, Md. Ashraful A1 Hussein, Dania PB Elsevier BV YR 2023 SN 2352-9148 JF Informatics in Medicine Unlocked VO 42 SP 101341 LK http://dx.doi.org/https://doi.org/10.1016/j.imu.2023.101341 DO https://doi.org/10.1016/j.imu.2023.101341 SF ELIB - SuUB Bremen
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