Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records
The method proposes a two-step spectral embedding procedure called SENT to create low-dimensional representations of clinical concepts and patients from electronic health records in rare diseases. It overcomes limitations by using a knowledge matrix from broader populations and employing flexible transfer techniques that don't require perfect signal alignment, leading to better results than existing methods.