论文标题
Visfcac：交互式家庭临床属性比较
VisFCAC: An Interactive Family Clinical Attribute Comparison
论文作者
论文摘要
本文介绍了Visfcac，这是一种视觉分析系统，该系统显示家庭结构以及家庭成员的临床属性有效地发现与自杀死亡有关的模式，以提交给Biovis 2020数据挑战。 Visfcac促进了模式跟踪，以洞悉潜在的临床属性，这些临床属性可能将自杀死亡连接起来，同时也试图提供见解，以防止有类似检测到的模式的人的自杀自杀。本文提出了一种比较家庭结构中家庭成员的方法，以发现可能出现在临床诊断数据中的模式。这种方法还比较了两个不同的家庭及其家庭结构，以查看家庭结构以外的临床属性中的自杀病例中是否存在模式。我们的解决方案实现了一棵径向树，以显示径向图表上显示的临床属性的家庭结构，以提供深入的视觉分析，并为基础模式发现提供了全面的见解。
This paper presents VisFCAC, a visual analysis system that displays family structures along with clinical attribute of family members to effectively uncover patterns related to suicide deaths for submission to the BioVis 2020 Data Challenge. VisFCAC facilitates pattern tracing to offer insight on potential clinical attributes that might connect suicide deaths while also attempting to offer insight to prevent future suicides by at risk people with similar detected patterns. This paper lays out an approach to compare family members within a family structure to uncover patterns that may appear in clinical diagnosis data. This approach also compares two different families and their family structures to see whether there are patterns in suicide cases amongst clinical attributes outside family structures. Our solution implements a radial tree to display family structures with clinical attributes displayed on radial charts to provide in depth visual analysis and offer a comprehensive insight for underlying pattern discovery.
