Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit
Our model can predict the real-time possibility of delirium in patients with ischemic stroke and will be helpful to monitor high-risk patients.
Authors
- Dongmin Seo (ORCID: https://orcid.org/0009-0009-6716-3959)
- Hyungjun Kim (ORCID: https://orcid.org/0000-0002-4040-3715)
- Min Kim (ORCID: https://orcid.org/0000-0003-4141-0949)
- Da-Young Kim (ORCID: https://orcid.org/0000-0002-3998-3927)
- Dukyong Yoon
- Ji Man Hong
Institutions
- Yonsei University (KR)
- Severance Hospital (KR)
- Ajou University (KR)
Publication Details
- Journal
- Frontiers in Neuroscience
- Published
- 2025-01-09
- DOI
- https://doi.org/10.3389/fnins.2024.1425562
- Citations
- 4
- Primary Topic
- Intensive Care Unit Cognitive Disorders
- Type
- article
- Field-Weighted Citation Impact
- 6.18
Funders
- Korea Medical Device Development Fund
- Ministry of Trade, Industry and Energy
- Ministry of Food and Drug Safety
- Korea Institute for Advancement of Technology
- Ministry of Science and ICT, South Korea