DASS Good: Explainable Data Mining of Spatial Cohort Data

no code implementations • 10 Apr 2023 • Andrew Wentzel, Carla Floricel, Guadalupe Canahuate, Mohamed A. Naser, Abdallah S. Mohamed, Clifton David Fuller, Lisanne van Dijk, G. Elisabeta Marai

Developing applicable clinical machine learning models is a difficult task when the data includes spatial information, for example, radiation dose distributions across adjacent organs at risk.

Explainable Spatial Clustering: Leveraging Spatial Data in Radiation Oncology

no code implementations • 25 Aug 2020 • Andrew Wentzel, Guadalupe Canahuate, Lisanne van Dijk, Abdallah Mohamed, Clifton David Fuller, G. Elisabeta Marai

Advances in data collection in radiation therapy have led to an abundance of opportunities for applying data mining and machine learning techniques to promote new data-driven insights.

BIG-bench Machine Learning Clustering