A global analysis of national cardiovascular disease control plans using a multi-agent artificial intelligence model.
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| Title: | A global analysis of national cardiovascular disease control plans using a multi-agent artificial intelligence model. |
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| Authors: | Pearson H; Health Systems Innovation Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America., Kumar CJ; Health Systems Innovation Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America., Reddy CL; Health Systems Innovation Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America., LeBlanc ER; Harvard College, Harvard University, Cambridge, Massachusetts, United States of America., Atun R; Health Systems Innovation Lab, Department of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, United States of America.; Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.; Department of Global Health and Social Medicine, Harvard Medical School, Harvard University, Boston, Massachusetts, United States of America.; Faculty of Medicine, Imperial College London, London, United Kingdom. |
| Corporate Authors: | With the CVD Control Collaborative |
| Source: | PLOS digital health [PLOS Digit Health] 2026 Jun 01; Vol. 5 (6), pp. e0001447. Date of Electronic Publication: 2026 Jun 01 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: PLOS Country of Publication: United States NLM ID: 9918335064206676 Publication Model: eCollection Cited Medium: Internet ISSN: 2767-3170 (Electronic) Linking ISSN: 27673170 NLM ISO Abbreviation: PLOS Digit Health Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42224187 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42224187 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pdig.0001447 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e0001447 Titles: – TitleFull: A global analysis of national cardiovascular disease control plans using a multi-agent artificial intelligence model. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pearson H – PersonEntity: Name: NameFull: Kumar CJ – PersonEntity: Name: NameFull: Reddy CL – PersonEntity: Name: NameFull: LeBlanc ER – PersonEntity: Name: NameFull: Atun R IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2026 Jun 01 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 2767-3170 Numbering: – Type: volume Value: 5 – Type: issue Value: 6 Titles: – TitleFull: PLOS digital health Type: main |
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