Machine Learning-based Early Detection of Intraoperative Anaphylaxis Among Patients with Hypotension Using Real-World Physiological Time Series Data.
- DOI
- 10.1007/s10916-026-02452-8
- Published
- 2026 Sep 4
- Container
- Journal of medical systems
- Publisher
- Not recorded
- Open access
- unknown
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limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s10916-026-02452-8,
title = {Machine Learning-based Early Detection of Intraoperative Anaphylaxis Among Patients with Hypotension Using Real-World Physiological Time Series Data.},
author = {Su H and You L and Jiang B and Wu Z and Kong G and Feng Y},
year = {2026},
journal = {Journal of medical systems},
doi = {10.1007/s10916-026-02452-8},
url = {https://doi.org/10.1007/s10916-026-02452-8}
}RIS
TY - JOUR TI - Machine Learning-based Early Detection of Intraoperative Anaphylaxis Among Patients with Hypotension Using Real-World Physiological Time Series Data. AU - Su H AU - You L AU - Jiang B AU - Wu Z AU - Kong G AU - Feng Y PY - 2026 JO - Journal of medical systems DO - 10.1007/s10916-026-02452-8 UR - https://doi.org/10.1007/s10916-026-02452-8 ER -
APA
H, S., L, Y., B, J., Z, W., G, K., & Y, F. (2026). Machine Learning-based Early Detection of Intraoperative Anaphylaxis Among Patients with Hypotension Using Real-World Physiological Time Series Data.. Journal of medical systems. https://doi.org/10.1007/s10916-026-02452-8
Source records
- pubmed · retrieved 2026-09-25T16:57:24.625Z