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

Reviews on Public Health Technology and Innovation (86) Visualization in eHealth (68) Public Health Data Visualization and Pattern Recognition (67) Cardiology (223) Cardiovascular Disease Prevention (206) Cardiac Risk and Cardiac Risk Calculators (102)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60128, first published .
The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

The Role of Visualization in Estimating Cardiovascular Disease Risk: Scoping Review

Authors of this article:

Adrijana Svenšek1 Author Orcid Image ;   Mateja Lorber1 Author Orcid Image ;   Lucija Gosak1 Author Orcid Image ;   Katrien Verbert2 Author Orcid Image ;   Zalika Klemenc-Ketis3, 4, 5 Author Orcid Image ;   Gregor Stiglic1, 6, 7 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Svenšek A, Gosak L, Lorber M, Štiglic G, Fijačko N. Review and Comparative Evaluation of Mobile Apps for Cardiovascular Risk Estimation: Usability Evaluation Using mHealth App Usability Questionnaire. JMIR mHealth and uHealth 2025;13:e56466 View
  2. Yan F, Peng G, Sun R, Zhang Y, Qiao P, Liu M, Ma Y, Han L. Identifying decision-making biases in self-care behaviours among patients with type 2 diabetes mellitus: A qualitative study from a behavioural economics perspective. International Journal of Nursing Studies 2025;171:105182 View
  3. Abzaliyev K, Suleimenova M, Abzaliyeva S, Mansurova M, Shomanov A, Bugibayeva A, Tolemisova A, Kurmanova A, Nassyrova N. Multidimensional Visualization and AI-Driven Prediction Using Clinical and Biochemical Biomarkers in Premature Cardiovascular Aging. Biomedicines 2025;13(10):2482 View