Andrew Wentzel
Title
PhD Graduate, 2024Department
Computer ScienceInformation
Email: awentze2@uic.edu
Bibliography
pubs (22)
- L-VISP: LSTM Visualization for Interpretable Symptom Prediction in Patient Cohorts
- Clinical and dosimetric dataset of time-to-event normal tissue complication probability for osteoradionecrosis
- mEnergy: Development of a Novel mHealth Multi-device Platform for Near Real-time Remote Assessment of Energy Disorders
- Externally validated digital decision support tool for time-to-osteoradionecrosis risk-stratification using right-censored multi-institutional observational cohorts
- Visual Computing Design for Explainable, Spatially-aware Machine Learning
Related Topics
events (11)
- Dr. Andrew Wentzel Receives the UIC 2025 Outstanding Dissertation Award
- Congratulations to EVL PhD Andrew Wentzel & Co-authors for a Nature Scientific Data Publication
- PhD Dissertation Announcement: “Human-Centered Design For Explainable, Spatial Machine Learning”
- EVL PhD Candidate Andrew Wentzel Presents his Research at IEEE VIS2024
- IEEE VIS 2024: Visualization & Virtual Analytics Virtual Conference
research (4)
- 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
- Roses Have Thorns: Understanding the Downside of Oncological Care Delivery Through Visual Analytics and Sequential Rule Mining
- DASS
- SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer Treatment