Optimizing extubation success: a comparative analysis of time series algorithms and activation functions
This study proposes a prediction method using GRU on the topic of extubation, and it can provide the doctors with the clinical application of extubation to give advice for reference.
Authors
- Ying‐Lin Hsu (ORCID: https://orcid.org/0000-0002-3551-0321)
- Jia-Lang Xu (ORCID: https://orcid.org/0000-0002-8052-9419)
- Ching‐Hsiung Lin (ORCID: https://orcid.org/0000-0001-9407-8578)
- Kuo‐Yang Huang (ORCID: https://orcid.org/0000-0002-4475-1282)
- S.P. Chi
Institutions
- Chaoyang University of Technology (TW)
- National Chung Hsing University (TW)
- Changhua Christian Hospital (TW)
Publication Details
- Journal
- Frontiers in Computational Neuroscience
- Published
- 2024-10-04
- DOI
- https://doi.org/10.3389/fncom.2024.1456771
- Citations
- 5
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.74
Funders
- Changhua Christian Hospital