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

Cardiovascular Disease Prevention (218) Web-based and Mobile Health Interventions (4289) Public (e)Health, Digital Epidemiology and Public Health Informatics (1142) Cardiac Risk and Cardiac Risk Calculators (120)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39097, first published .
The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study

The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study

The Impact and Perception of England’s Web-Based Heart Age Test of Cardiovascular Disease Risk: Mixed Methods Study

Authors of this article:

Victoria Riley1 Author Orcid Image ;   Christopher Gidlow1 Author Orcid Image ;   Sophia Fedorowicz1 Author Orcid Image ;   Catherine Lagord2 Author Orcid Image ;   Katherine Thompson2 Author Orcid Image ;   Joshua Woolner2 Author Orcid Image ;   Rosie Taylor2 Author Orcid Image ;   Jade Clark2 Author Orcid Image ;   Andrew Lloyd-Harris2 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Svenšek A, Lorber M, Gosak L, Verbert K, Klemenc-Ketis Z, Stiglic G. The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review. JMIR Public Health and Surveillance 2024;10:e60128 View

Conference Proceedings

  1. Shiam Shanto M, Ferdous Jaman M, Mitu S. 2025 IEEE International Conference on Biomedical Engineering, Computer and Information Technology for Health (BECITHCON). A Robust Deep Learning Approach for Automated Cardiovascular Disease Diagnosis Using ECG Image Analysis View