ItemComplex: A Python-based visualization framework for ex-post organization and integration of large language-based datasets

ItemComplex: A Python-based visualization framework for ex-post organization and integration of large language-based datasets

Abstract Background Nowadays, both researchers and clinicians alike have to deal with increasingly larger datasets, specifically also in the context of mental health data. Sophisticated tools for dataset visualization of information from various item-based instruments, such as questionnaire data or...

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Bibliographic Details
Main Authors: Karina Janson, Karl Gottfried, Olaf Reis, Johannes Kornhuber, Anna Eichler, Michael Deuschle, Tobias Banaschewski, Frauke Nees, IMAC-Mind Consortium
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:European Psychiatry
Subjects:
big data
constructs
content networks
data navigation
data structuring
data visualization
items
Online Access:https://www.cambridge.org/core/product/identifier/S0924933825024575/type/journal_article
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https://www.cambridge.org/core/product/identifier/S0924933825024575/type/journal_article

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