Emily Getzen

SADI: Similarity-Aware Diffusion Model-Based Imputation for Incomplete Temporal EHR Data

Missing values are prevalent in temporal electronic health records (EHR) data and are known to complicate data analysis and lead to biased results. The current state-of-the-art (SOTA) models for imputing missing values in EHR primarily leverage correlations across time points and across features, wh…