EVL Research Team Publishes Their Visual Analytics Research for Oncological Care

October 22nd, 2023 - October 27th, 2023

Categories: Applications, Software, User Groups, Visualization, Visual Analytics, Data Science

Visual representation of treatment comparison.
Visual representation of treatment comparison.


The EVL research team lead by Professor Liz Marai and graduate research assistants Carla Floricel and Andrew Wentzel has their visual analytics work published at the IEEE Transactions on Visualization and Computer Graphics session at the IEEE Vis 2023 Conference held in Melbourne, Australia, October 22- 27, 2023. “Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining” (authors: Carla Gabriela Floricel, Andrew Wentzel, Abdallah Mohamed, Clifton David Fuller, Guadalupe Canahuate, G. Elisabeta Marai) is an interactive analysis system to support sequential rule mining (SRM) model builders who work in cancer symptom research. SRM is a promising unsupervised machine learning method for predicting longitudinal patterns in temporal data which, however, can output many repetitive patterns that are difficult to interpret without the assistance of visual analytics. Our system facilitates mechanistic knowledge discovery of treatment-related toxicities (i.e., “roses have thorns”) in large-scale cohort data.

This work was developed by visual computing researchers at EVL in collaboration with data mining specialists at the University of Iowa, and clinicians at the MD Anderson Cancer Center in Texas, and it is supported by funding from the US National Institutes of Health (NIH awards NCI-R01-CA258827 and NLM-R01-LM012527), and US National Science Foundation (NSF awards CDSE-1854815 and CNS-1828265).