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Journal ArticleOpen Access

<i>DiaVis</i>: Exploration and Analysis of Diabetes through Visual Interactive System

Author Affiliations
City University, Jagannath University, University of Technology Sydney, Islamic University of Technology
Published InHuman-Centric Intelligent Systems
Year2021
Citations9

Abstract

Background: Diabetes is a long-term disease characterized by high blood sugar and has risen as a public health problem globally. Exploring and analyzing diabetes data is a timely concern because it may prompt a variety of serious illnesses, including stroke, kidney failure, heart attacks, etc. Several existing pieces of research have revealed that diabetes data, such as systolic blood pressure (SBP), diastolic blood pressure (DBP), weight, height, age, etc., can provide insightful information about patients diabetes states. However, very few studies have focused on visualizing diabetes mellitus (DM) insights to support healthcare administrator (HA)'s goals adequately, such as (i) decision-making, (ii) identifying and grouping associated factors, and (iii) analyzing large data effectively remains unexplored.
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