2 papers
cs.LG2018
Self-Attention Equipped Graph Convolutions for Disease Prediction
Anees Kazi, S. Arvind krishna, Shayan Shekarforoush +3
Multi-modal data comprising imaging (MRI, fMRI, PET, etc.) and non-imaging (clinical test, demographics, etc.) data can be collected together and used for disease prediction. Such…
cs.LG2018
Multi Layered-Parallel Graph Convolutional Network (ML-PGCN) for Disease Prediction
Anees Kazi, Shadi Albarqouni, Karsten Kortuem +1
Structural data from Electronic Health Records as complementary information to imaging data for disease prediction. We incorporate novel weighting layer into the Graph Convolutiona…