Bates, DW;
Syrowatka, A;
Rhee, K;
Jackson, GP;
Alfayez, A;
Kunz, H;
(2022)
Call for better systems and data to support artificial intelligence for pandemic response.
BMJ Health & Care Informatics
, 29
(1)
, Article e100506. 10.1136/bmjhci-2021-100506.
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| Type: | Article |
|---|---|
| Title: | Call for better systems and data to support artificial intelligence for pandemic response |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1136/bmjhci-2021-100506 |
| Publisher version: | https://doi.org/10.1136/bmjhci-2021-100506 |
| Language: | English |
| Additional information: | Copyright © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
| 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 Health Informatics UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics > Clinical Epidemiology |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10142506 |
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