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Leveraging text data for causal inference using electronic health records
May 22, 2024, 4:47 a.m. | Reagan Mozer, Aaron R. Kaufman, Leo A. Celi, Luke Miratrix
cs.CL updates on arXiv.org arxiv.org
Abstract: In studies that rely on data from electronic health records (EHRs), unstructured text data such as clinical progress notes offer a rich source of information about patient characteristics and care that may be missing from structured data. Despite the prevalence of text in clinical research, these data are often ignored for the purposes of quantitative analysis due their complexity. This paper presents a unified framework for leveraging text data to support causal inference with electronic …
abstract arxiv causal causal inference clinical clinical research cs.cl data electronic electronic health records health inference information notes patient progress records replace research stat.ap stat.me structured data studies text type unstructured
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