Semantic search helper: A tool based on the use of embeddings in multi-item questionnaires as a harmonization opportunity for merging large datasets – A feasibility study

Abstract Background Recent advances in natural language processing (NLP), particularly in language processing methods, have opened new avenues in semantic data analysis. A promising application of NLP is data harmonization in questionnaire-based cohort studies, where it can be used as an additional...

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Hauptverfasser:	Karl Gottfried, Karina Janson, Nathalie E. Holz, Olaf Reis, Johannes Kornhuber, Anna Eichler, Tobias Banaschewski, Frauke Nees, IMAC-Mind Consortium
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Cambridge University Press 2025-01-01
Schriftenreihe:	European Psychiatry
Schlagworte:	natural language processing harmonization semantic questionnaires big data
Online-Zugang:	https://www.cambridge.org/core/product/identifier/S092493382401808X/type/journal_article
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