Multi-Organ Spatial Stratification of 3-D Dose Distributions Improves Risk Prediction of Long-Term Self-Reported Severe Symptoms in Oropharyngeal Cancer Patients Receiving Radiotherapy: Development of a Pre-Treatment Decision Support Tool
Andrew Wentzel, G. Elisabeta Marai, Abdallah Sherif Radwan Mohamed, Mohamed A Naser, Lisanne V Van Dijk, Katherine Hutcheson, Amy M Moreno, Clifton D Fuller, Guadalupe Canahuate
July 17, 2023

Advanced radiotherapy treatments for Oropharyngeal cancer have improved patient survival rates, although they lead to understudied long-term… Read more

Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, A. Mohamed, C.D. Fuller, G. Canahuate
January 1, 2023

We present an interactive analysis system to support sequential rule mining (SRM) model builders who work in cancer symptom research. SRM is a… Read more

DASS
Andrew Wentzel, Carla Floricel, G. Elisabeta Marai, G. Canahuate (Universite of Iowa,); M. Naser, A. Mohamed, C.D. Fuller, L. Van Dijk (MD Anderson Cancer Center, University of Texas)
March 1, 2021 - Ongoing

DASS is a visual computing system designed to help scientists build machine learning models that classify head and neck cancer patients into groups… Read more

SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment
Andrew Wentzel, Chihua Ma, Elisa Tardini, G. Elisabeta Marai, Sanjana Srabanti, Timothy Luciani,

Grant PI: Georgeta-Elisabeta Marai (UIC); Guadalupe Canahuate (University of Iowa); Clifton David Fuller (MD Anderson Cancer Center); David M. Vock (University of Minnesota)
March 3, 2017 - February 29, 2020

Head and neck squamous carcinomas affect all ethnicities and age groups, accounting for significant mortality and therapy-related side effects. Over… Read more