Article

Automated Transformation of Unstructured Cardiovascular Diagnostic Reports into Structured Datasets Using Sequentially Deployed Large Language Models

2024-10-08

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Background</h4> Rich data in cardiovascular diagnostic testing are often sequestered in unstructured reports, with the necessity of manual abstraction limiting their use in real-time applications in patient care and research. <h4>Methods</h4> We developed a two-step process that sequentially deploys generative and interpretative large language models (LLMs; Llama2 70b and Llama2 13b). Using a...

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Literature Corpus work: 6bf344a1-bd8f-58db-9123-dfecb139422a
DOI: 10.1101/2024.10.08.24315035

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