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Artificial intelligence for multimorbidity: managing complexity at scale

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)
1661-8556
Zlatev, Zlatko
8f2e3635-d76c-46e2-85b9-53cc223fee01
Dambha-Miller, Hajira
58961db5-31aa-460e-9394-08590c4b7ba1
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).

Record type: Editorial
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ijph-71-1608904 - Version of Record
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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
ORCID for Zlatko Zlatev: ORCID iD orcid.org/0000-0001-6275-5626
ORCID for Hajira Dambha-Miller: ORCID iD orcid.org/0000-0003-0175-443X

Catalogue record

Date deposited: 17 Mar 2026 18:03
Last modified: 18 Mar 2026 02:58

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Contributors

Author: Zlatko Zlatev ORCID iD

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