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

ABSTRACT:

Background

Supporting and understanding the health of patients with chronic diseases and cardiovascular disease (CVD) risk is often a major challenge. Health data are often used in providing feedback to patients, and visualization plays an important role in facilitating the interpretation and understanding of data and, thus, influencing patients' behavior. Visual analytics enable efficient analysis and understanding of large datasets in real time. Digital health technologies can promote healthy lifestyle choices and assist in estimating CVD risk.

Objective

This review aims to present the most-used visualization techniques to estimate CVD risk.

Methods

In this scoping review, we followed the Joanna Briggs Institute PRISMA-ScR (Preferred Reporting Items for Systematic R

SUBMITTER: Svensek A 

PROVIDER: S-EPMC11519570 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature