Evaluating language model embeddings for Parkinson’s disease cohort harmonization using a novel manually curated variable mapping schema

Abstract Data Harmonization is an important yet time-consuming process. With the recent popularity of applications using Language Models (LMs) due to their high capabilities in text understanding, we investigated whether LMs could facilitate data harmonization for clinical use cases. To evaluate thi...

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Bibliografische Detailangaben

Hauptverfasser:	Yasamin Salimi, Tim Adams, Mehmet Can Ay, Helena Balabin, Marc Jacobs, Martin Hofmann-Apitius
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-06-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Alzheimer’s disease Automatic data harmonization Parkinson’s disease Large language models Data stewardship
Online-Zugang:	https://doi.org/10.1038/s41598-025-06447-2
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