DOME: Directional medical embedding vectors from Electronic Health Records.

ABSTRACT:

Motivation

The increasing availability of Electronic Health Record (EHR) systems has created enormous potential for translational research. Recent developments in representation learning techniques have led to effective large-scale representations of EHR concepts along with knowledge graphs that empower downstream EHR studies. However, most existing methods require training with patient-level data, limiting their abilities to expand the training with multi-institutional EHR data. On the other hand, scalable approaches that only require summary-level data do not incorporate temporal dependencies between concepts.

Methods

We introduce a DirectiOnal Medical Embedding (DOME) algorithm to encode temporally directional relationships between medical concepts, using summary-level EH

SUBMITTER: Wen J 

PROVIDER: S-EPMC12040072 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature