Article

Automated abstraction of clinical parameters of multiple myeloma from real-world clinical notes using large language models

2024-12-20

Abstract excerpt

<h4>Background</h4> Real-world evidence (RWE) is increasingly recognized as a valuable type of oncology research but extracting fit-for-purpose real-world data (RWD) from electronic health records (EHRs) remains challenging. Manual abstraction from free-text clinical documents, although the gold standard for information extraction, is resource-intensive. RWD generation using natural language processing (NLP) has b...

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Literature Corpus work: 21975adb-6c05-56fd-b73d-a2b75c8e2c70
DOI: 10.1101/2024.12.17.24318605

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