Leveraging text data for causal inference using electronic health records

no code implementations • 9 Jun 2023 • Reagan Mozer, Aaron R. Kaufman, Leo A. Celi, Luke Miratrix

We augment a classic matching analysis by incorporating text in three ways: by using text to supplement a multiple imputation procedure, we improve the fidelity of imputed values to handle missing data; by incorporating text in the matching stage, we strengthen the plausibility of the matching procedure; and by conditioning on text, we can estimate easily interpretable text-based heterogeneous treatment effects that may be stronger than those found across categories of structured covariates.

Causal Inference Imputation