Applying a transformer architecture to intraoperative temporal dynamics improves the prediction of postoperative delirium
Intraoperative temporal dynamics of clinical parameters, exploited by a transformer architecture named TRAPOD, are critical for the accurate prediction of POD.
Authors
- Claudia Spies (ORCID: https://orcid.org/0000-0002-1062-0495)
- Kerstin Rubarth (ORCID: https://orcid.org/0000-0002-6174-6346)
- Sebastian Daniel Boie (ORCID: https://orcid.org/0000-0001-7993-7901)
- Niklas Giesa (ORCID: https://orcid.org/0000-0003-0808-3966)
- Felix Balzer (ORCID: https://orcid.org/0000-0003-1575-2056)
- Stefan Haufe (ORCID: https://orcid.org/0000-0003-1470-9195)
- Maria Sekutowicz
Institutions
- Physikalisch-Technische Bundesanstalt (DE)
- Berlin Institute of Health at Charité - Universitätsmedizin Berlin (DE)
- Technische Universität Berlin (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- Communications Medicine
- Published
- 2024-11-27
- DOI
- https://doi.org/10.1038/s43856-024-00681-x
- Citations
- 13
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 5.48
Funders
- European Commission
- Berlin Institute of Health
- Horizon 2020 Framework Programme