Artificial intelligence for multimorbidity: managing complexity at scale
Artificial intelligence for multimorbidity: managing complexity at scale
artificial intelligence, multimorbidities, multiple chronic conditions, public health, artificial intelligence (AI)
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
29 January 2026
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
Zlatev, Zlatko and Dambha-Miller, Hajira
(2026)
Artificial intelligence for multimorbidity: managing complexity at scale.
International Journal of Public Health, 71, [1608904].
(doi:10.3389/ijph.2026.1608904).
Text
ijph-71-1608904
- Version of Record
More information
Accepted/In Press date: 6 January 2026
Published date: 29 January 2026
Keywords:
artificial intelligence, multimorbidities, multiple chronic conditions, public health, artificial intelligence (AI)
Identifiers
Local EPrints ID: 510109
URI: http://eprints.soton.ac.uk/id/eprint/510109
ISSN: 1661-8556
PURE UUID: 75c2e090-ca90-4961-95b8-187a534c1cc8
Catalogue record
Date deposited: 17 Mar 2026 18:03
Last modified: 18 Mar 2026 02:58
Export record
Altmetrics
Contributors
Author:
Zlatko Zlatev
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics