Please use this identifier to cite or link to this item:
https://dora.health.qld.gov.au/qldresearchjspui/handle/1/9522| Title: | Machine learning predicts the short-term requirement for invasive ventilation among Australian critically ill COVID-19 patients | Authors: | Roshan Karri Tarik A. Rashid Yi-Ping Phoebe Chen Aidan J. C. Burrell Jahan C. Penny-Dimri Tessa Broadley Tony Trapani Adam M. Deane Andrew A. Udy Mark P. Plummer |
Issue Date: | 26-Oct-2022 | Journal: | PLOS ONE |
| Appears in Sites: | Publication workflow Queensland Health Publications |
Show full item record
Items in DORA are protected by copyright, with all rights reserved, unless otherwise indicated.