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On the Utility of Large Language Model Embeddings for Revolutionizing Semantic Data Harmonization in Alzheimer's and Parkinson’s Disease

2024-04-01

Abstract excerpt

<title>Abstract</title> <p>Data Harmonization is an important yet time-consuming process. With the recent popularity of applications using Large Language Models (LLMs) due to their high capabilities in text understanding, we investigated whether LLMs could facilitate data harmonization for clinical use cases. To evaluate this, we created PASSIONATE, a novel Parkinson's disease (PD) Common Data Model (CDM) as a gr...

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Literature Corpus work
f98170e1-912f-518b-8ffa-4aa264699656
DOI
10.21203/rs.3.rs-4108029/v1
Open publication

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On the Utility of Large Language Model Embeddings for Revolutionizing Semantic Data Harmonization in Alzheimer's and Parkinson’s DiseaseDOI 10.21203/rs.3.rs-4108029/v1
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