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This paper is in the following e-collection/theme issue:

Data Science (712) Cardiology (284) Electronic Health Records (1752) Advanced Data Analytics in eHealth (361) Secondary Use of Clinical Data for Research and Surveillance (641) Machine Learning (3248) Hypertension Prevention and Treatment (351)

Published on in Vol 28 (2026)

This is a member publication of Imperial College London (Jisc)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/87084, first published .
Doctor taking blood pressure reading of a patient's arm with a sphygmomanometer

Evaluation of a National Health Service Machine-Learning Model for Hypertension Case-Finding: Retrospective Cohort Study

Evaluation of a National Health Service Machine-Learning Model for Hypertension Case-Finding: Retrospective Cohort Study

Authors of this article:

Gloria Ihenetu1 Author Orcid Image ;   Ahmad Alkhatib1 Author Orcid Image ;   Vesselin Novov1 Author Orcid Image ;   Thomas Beaney1 Author Orcid Image ;   Azeem Majeed1 Author Orcid Image ;   Paul Aylin1 Author Orcid Image ;   Thomas Woodcock1 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Gloria Ihenetu   1 , MPH ;   Ahmad Alkhatib   1 , PhD ;   Vesselin Novov   1 , MSc ;   Thomas Beaney   1 , MSc, MBBS, PhD ;   Azeem Majeed   1 , MD ;   Paul Aylin   1 , MBChB ;   Thomas Woodcock   1 , PhD

1 Department of Primary Care and Public Health, Imperial College London, London, United Kingdom

Corresponding Author:

  • Gloria Ihenetu, MPH
  • Department of Primary Care and Public Health
  • Imperial College London
  • White City Campus, 90 Wood Lane
  • London W12 0BZ
  • United Kingdom
  • Phone: 44 020 7594 5863
  • Email: g.ihenetu@imperial.ac.uk