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Filling the gaps: leveraging large language models for temporal harmonization of clinical text across multiple medical visits for clinical prediction

2024-05-07

Abstract excerpt

Electronic health records offer great promise for early disease detection, treatment evaluation, information discovery, and other important facets of precision health. Clinical notes, in particular, may contain nuanced information about a patient’s condition, treatment plans, and history that structured data may not capture. As a result, and with advancements in natural language processing, clinical notes have bee...

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Literature Corpus work
b2081f61-9bf5-5f5f-bac7-f9196c6a26b4
DOI
10.1101/2024.05.06.24306959
Open publication

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Filling the gaps: leveraging large language models for temporal harmonization of clinical text across multiple medical visits for clinical predictionDOI 10.1101/2024.05.06.24306959
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