DiaVis:通过可视化交互系统探索与分析糖尿病

Mosiur Rahman, Md. Rafiqul Islam, Sharmin Akter, Shanjita Akter, Linta Islam, Guandong Xu
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引用次数: 4

摘要

背景:糖尿病是一种以高血糖为特征的长期疾病,已成为全球性的公共卫生问题。探索和分析糖尿病数据是一个及时的问题,因为它可能会引发各种严重的疾病,包括中风、肾衰竭、心脏病发作等。一些现有的研究表明,糖尿病数据,如收缩压(SBP)、舒张压(DBP)、体重、身高、年龄等,可以提供关于患者糖尿病状态的深刻信息。然而,很少有研究关注糖尿病(DM)可视化,以充分支持医疗保健管理员(HA)的目标,例如(i)决策,(ii)识别和分组相关因素,以及(iii)有效地分析大数据,这些研究仍未得到探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DiaVis: Exploration and Analysis of Diabetes through Visual Interactive System
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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