Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse.
Saved in:
| Title: | Risk factors for adverse outcomes during mechanical ventilation of 1152 COVID-19 patients: a multicenter machine learning study with highly granular data from the Dutch Data Warehouse. |
|---|---|
| Authors: | Fleuren, Lucas M.1 (AUTHOR) l.fleuren@amsterdamumc.nl, Tonutti, Michele2 (AUTHOR), de Bruin, Daan P.2 (AUTHOR), Lalisang, Robbert C. A.2 (AUTHOR), Dam, Tariq A.1 (AUTHOR), Gommers, Diederik3 (AUTHOR), Cremer, Olaf L.4 (AUTHOR), Bosman, Rob J.5 (AUTHOR), Vonk, Sebastiaan J. J.2 (AUTHOR), Fornasa, Mattia2 (AUTHOR), Machado, Tomas2 (AUTHOR), van der Meer, Nardo J. M.6 (AUTHOR), Rigter, Sander7 (AUTHOR), Wils, Evert-Jan8 (AUTHOR), Frenzel, Tim9 (AUTHOR), Dongelmans, Dave A.1 (AUTHOR), de Jong, Remko10 (AUTHOR), Peters, Marco11 (AUTHOR), Kamps, Marlijn J. A.12 (AUTHOR), Ramnarain, Dharmanand13 (AUTHOR) |
| Source: | Intensive Care Medicine Experimental. 6/28/2021, Vol. 9 Issue 1, p1-15. 15p. |
| Database: | Academic Search Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2197425X |
|---|---|
| DOI: | 10.1186/s40635-021-00397-5 |
