Simone Cammarasana

Graph representation and learning for drug administration prediction

This work proposes a graph representation learning model for predicting drug administration using the MIMIC-III database, which contains over 53K critical care admissions, and designs a heterogeneous, weighted, directed, and multi-feature graph from patient demographics, diagnoses, and drug administration records.