I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs

被引：2
作者：
Linhares, Claudio D. G. [1 ]
Lima, Daniel M. [2 ]
Bones, Christian C. [1 ]
Rebelo, Marina F. S. [2 ]
Gutierrez, Marco A. [2 ]
Traina Jr, Caetano [1 ]
Traina, Agma J. M. [1 ]
机构：
[1] Univ Sao Paulo, Inst Ciencias Matemat & Comp ICMC, Sao Carlos, SP, Brazil
[2] Univ Sao Paulo, Inst Coracao InCor HC FMUSP, Sao Paulo, SP, Brazil
来源：
2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) | 2021年
基金：
巴西圣保罗研究基金会;
关键词：
information visualization; visual analytics; data visualization; complex networks; graph visualization; healthcare systems; data mining;
D O I：
10.1109/CBMS52027.2021.00059
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The current COVID-19 pandemic has promoted the periodic release of several health databases aimed at discovering relationships in the data, detecting similar problems in patients, and studying the evolution of the disease. A way to exploit the data is to use visualization techniques, which can lead to the discovery of insights and patterns, as well as to guide analysis procedures to understand the data. In this paper, we present I-CovidVis, a visualization tool to explore data from interoperable healthcare systems, able to compare and navigate in both global and local perspectives. Our approach is to model data as a graph and explore its structural and temporal views. Our proposal facilitates the perception of patterns, trends, periodicity, and anomalies, resulting in faster decision making.
引用
收藏
页码：125 / 130
页数：6
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