Graph Convolutional Networks (GCNs) have emerged as a promising approach to machine learning on Electronic Health Records (EHRs). By constructing a graph representation of patient data and performing convolutions on neighborhoods of nodes, GCNs can capture complex relationships and extract meaningful insights to support medical decision making. This survey provides an overview of the current research in applying GCNs to EHR data. We identify the key medical domains and prediction tasks where these models are being utilized, common benchmark datasets, and architectural patterns to provide a comprehensive survey of this field. While this is a nascent area of research, GCNs demonstrate strong potential to leverage the complex information hidden in EHRs. Challenges and opportunities for future work are also discussed.

Good afternoon, proud graduates of the University of Machine Learning class of … In retrospect, it was a bad day for Artificial Intelligence.

NUTLEY, NEW JERSEY – Authorities say a New Jersey student accused of making an online threat against his high school posted a video created in the popular video game Minecraft showing a shooting at a replica of the school. NJ.com reports that Joseph Rafanello's avatar can be seen walking through the virtual school, complete with lockers and the sound of gunshots in the background. The new information was discussed Wednesday during a detention hearing for the 18-year-old Nutley High School student. A judge rejected prosecutors' request to keep him in custody until his trial, ordering that he instead be placed on home detention. Rafanello was charged with creating a false public alarm for a video that spurred the closure of Nutley schools Feb. 16.