Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.
- DOI
- 10.1007/s11357-025-01809-0
- Published
- 2026 Apr
- Container
- GeroScience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1007/s11357-025-01809-0,
title = {Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.},
author = {Viegas A and Von Rekowski CP and Araújo R and Ramalhete L and Cordeiro IM and Manita M and Viana-Baptista M and Macedo P and Bento L},
year = {2026},
journal = {GeroScience},
doi = {10.1007/s11357-025-01809-0},
url = {https://doi.org/10.1007/s11357-025-01809-0}
}RIS
TY - JOUR TI - Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach. AU - Viegas A AU - Von Rekowski CP AU - Araújo R AU - Ramalhete L AU - Cordeiro IM AU - Manita M AU - Viana-Baptista M AU - Macedo P AU - Bento L PY - 2026 JO - GeroScience DO - 10.1007/s11357-025-01809-0 UR - https://doi.org/10.1007/s11357-025-01809-0 ER -
APA
A, V., CP, V. R., R, A., L, R., IM, C., M, M., M, V., P, M., & L, B. (2026). Predicting delirium in critically Ill COVID-19 patients using EEG-derived data: a machine learning approach.. GeroScience. https://doi.org/10.1007/s11357-025-01809-0
Source records
- pubmed · retrieved 2026-09-26T17:28:36.721Z