Accessibility settings

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

Reviews on Public Health Technology and Innovation (193) Cardiology (279) Visualization in eHealth (98) Cardiac Risk and Cardiac Risk Calculators (165) Cardiovascular Disease Prevention (262) Public Health Data Visualization and Pattern Recognition (75)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60128, first published .
Hand holding smartphone displaying a 3D heart model with medical data.

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 (11) 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
  4. Wang Y, Ma G, Qu M, Xu Q, Huang H. Serum uric acid-to-high-density lipoprotein cholesterol ratio and cardiovascular risk in Asian patients with metabolic dysfunction-associated steatotic liver disease. World Journal of Gastroenterology 2025;31(48) View
  5. Zhang P, Wang S, Wu T, Su Z, Deng W, Zhang Q. Association between systemic inflammatory response index and cardiovascular disease risk in rheumatoid arthritis patients: a machine learning based on US and Chinese cohorts. Clinical Rheumatology 2026;45(2):755 View
  6. Svenšek A, Lorber M, Klemenc-Ketiš Z, Gosak L, Muršec D, Štiglic G. Interactive Digital Visualization Counseling for Lifestyle Change in Patients at Risk of Cardiovascular Diseases: Randomized Controlled Trial. JMIR Public Health and Surveillance 2026;12:e83488 View
  7. Almasi S, Rabiei R, Hamedi S, Ghaderzadeh M, Bastani P. Umbrella review of healthcare dashboards: Applications, benefits, design, and challenges. DIGITAL HEALTH 2026;12 View
  8. Chen J, Hong W, Tian X, Wang W, Sun Y. Association of Triglyceride-to-HDL Cholesterol Ratio with Osteoarthritis: Multicenter Evidence and Application of an Interactive Risk Visualization Tool. Journal of Inflammation Research 2026;Volume 19:1 View
  9. Hu Y, Lu D, Yi J, Wang M, Liang J, Li J. Summary of evidence on nutritional adherence in cardiac rehabilitation among patients with coronary heart disease after PCI based on mobile healthcare systems. DIGITAL HEALTH 2026;12 View

Conference Proceedings

  1. Luz S, Sheehan S, Masoodian M. Proceedings of the 2026 International Conference on Advanced Visual Interfaces. Challenges in Reviewing Research Utilising Maps Visualizations: A Case Study of Cholera View
  2. Kumari T, Vasuki R, Kanna R. INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR SUSTAINABLE FUTURE (ISSF 2025): ISSF 2025. ML driven cardiac disease detection in healthcare application View