27 citations · 27 across the 5 of their papers we have counts for
3 papers · 1 filter
AMNESIA: A Large Scale Medical Unlearning Benchmark Suite with Disease-Informed Analysis
Saeedeh Davoudi, Reihaneh Iranmanesh, Ophir Frieder +1
Medical knowledge is continuously evolving. This creates a need to update or selectively forget information encoded in already-trained medical LLMs. Machine unlearning aims to remo…
Scaling Electronic Health Record Foundation Models for Population Health Management
Liwen Sun, Hao-Ren Yao, Gary Gao +3
Population health management requires scalable methods to identify individuals at risk of chronic diseases such as cardiovascular conditions and cancer, yet existing approaches rel…
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax
Hao-Ren Yao, Nairen Cao, Katina Russell +3
Learning Electronic Health Records (EHRs) representation is a preeminent yet under-discovered research topic. It benefits various clinical decision support applications, e.g., medi…