VisFCAC: An Interactive Family Clinical Attribute Comparison

TL;DR

VisFCAC is a visual analysis tool designed to explore family structures and clinical attributes to identify patterns associated with suicide, aiding prevention efforts through pattern tracing and comparison.

Contribution

The paper introduces VisFCAC, a novel interactive visualization system that compares family structures and clinical data to uncover patterns linked to suicide risk.

Findings

Effective visualization of family and clinical data patterns.

Identification of potential clinical attributes connected to suicide.

Facilitates pattern tracing across family members and between families.

Abstract

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.