Article

Standardizing in-hospital cause-of-death data using large language models and neural machine translation

2026-03-18

Abstract excerpt

<title>Abstract</title> <p>This study aims to expand the Observational Medical Outcomes Partnership Common Data Model (CDM) by linking in-hospital mortality data with national mortality statistics. Specifically, we developed a pipeline utilizing large language models (LLMs) and neural machine translation (NMT) to standardize unstructured, bilingual cause-of-death text. From a cohort of 1,033,461 patients, 64,034...

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Literature Corpus work: efbb58b9-a678-588e-b795-f5c2cbb4968a
DOI: 10.21203/rs.3.rs-8719534/v1

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