Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings.

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Bibliographic Details
Title: Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings.
Authors: Manley H; UK Health Security Agency, London, UK., Leber W; Queen Mary University London, London, UK., Smith K; Queen Mary University London, London, UK., Farooq HZ; Queen Mary University London, London, UK., Pareek M; University of Leicester, Leicester, UK., Baggaley RF; University of Leicester, Leicester, UK.; University College London, London, UK., Anderson J; Queen Mary University London, London, UK.; Homerton Healthcare NHS Foundation Trust, London, UK., Loman L; UK Health Security Agency, London, UK., Griffiths C; Nuffield Department of Primary Care, University of Oxford, Oxford, UK., Robson J; Queen Mary University London, London, UK., Panovska-Griffiths J; UK Health Security Agency, London, UK. jasmina.panovska-griffiths@ndph.ox.ac.uk.; The Pandemic Sciences Institute, Nuffield Department of Medicine, University of Oxford, Oxford, UK. jasmina.panovska-griffiths@ndph.ox.ac.uk.; The Queen's College, University of Oxford, Oxford, UK. jasmina.panovska-griffiths@ndph.ox.ac.uk.
Source: BMC infectious diseases [BMC Infect Dis] 2026 May 11. Date of Electronic Publication: 2026 May 11.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1471-2334
DOI:10.1186/s12879-026-13247-0