ItemComplex: A Python-based visualization framework for ex-post organization and integration of large language-based datasets
The <i>ItemComplex</i> app is an efficient tool in the field of big data management and analysis addressing the growing complexity of modern datasets to harness the potential hidden within these extensive collections of information. It is also easily adjustable for individual datasets and user preferences, both in the research and clinical field.
Authors
- Karina Jansone (ORCID: https://orcid.org/0000-0002-0902-0628)
- Tobias Banaschewski (ORCID: https://orcid.org/0000-0003-4595-1144)
- Karl Gottfried (ORCID: https://orcid.org/0000-0002-2100-3409)
- Michael Deuschle (ORCID: https://orcid.org/0000-0001-5038-1137)
- Johannes Kornhuber (ORCID: https://orcid.org/0000-0002-8096-3987)
- Olaf Reis (ORCID: https://orcid.org/0000-0001-6480-6431)
- Frauke Nees (ORCID: https://orcid.org/0000-0002-7796-8234)
- Anna Eichler (ORCID: https://orcid.org/0000-0001-5584-0961)
Institutions
- Friedrich-Alexander-Universität Erlangen-Nürnberg (DE)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- University Medical Center (US)
- Christian-Albrechts-Universität zu Kiel (DE)
- Central Institute of Mental Health (DE)
- University of Rostock (DE)
- Heidelberg University (US)
Publication Details
- Journal
- European Psychiatry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1192/j.eurpsy.2025.2457
- Primary Topic
- Computational Physics and Python Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Universitätsklinikum Hamburg-Eppendorf