Sidhu, Manbinder S;
Ford, Gary A;
Fulop, Naomi J;
Roberts, C Michael;
(2022)
Learning networks in the pandemic: mobilising evidence for improvement.
BMJ
, 379
, Article e070215. 10.1136/bmj-2022-070215.
Preview |
Text
Fulop_Sidhu et al 3rd August 2022 (clean Version) thirdsubmission_following comments from the editor_5.1.pdf Download (278kB) | Preview |
| Type: | Article |
|---|---|
| Title: | Learning networks in the pandemic: mobilising evidence for improvement |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/bmj-2022-070215 |
| Publisher version: | https://doi.org/10.1136/bmj-2022-070215 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Humans, Machine Learning, Neural Networks, Computer, Pandemics |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Applied Health Research |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10159152 |
Downloads since deposit
27Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months
Archive Staff Only
 |
View Item |
