A machine learning model for automated anesthesia risk classification in lumbar spinal stenosis patients: development and multicenter validation.
- DOI
- 10.3389/fmed.2026.1910920
- Published
- 2026
- Container
- Frontiers in medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fmed.2026.1910920,
title = {A machine learning model for automated anesthesia risk classification in lumbar spinal stenosis patients: development and multicenter validation.},
author = {Yang J and Wang Y and Chen Q and Ma N and Rexiti P},
year = {2026},
journal = {Frontiers in medicine},
doi = {10.3389/fmed.2026.1910920},
url = {https://doi.org/10.3389/fmed.2026.1910920}
}RIS
TY - JOUR TI - A machine learning model for automated anesthesia risk classification in lumbar spinal stenosis patients: development and multicenter validation. AU - Yang J AU - Wang Y AU - Chen Q AU - Ma N AU - Rexiti P PY - 2026 JO - Frontiers in medicine DO - 10.3389/fmed.2026.1910920 UR - https://doi.org/10.3389/fmed.2026.1910920 ER -
APA
J, Y., Y, W., Q, C., N, M., & P, R. (2026). A machine learning model for automated anesthesia risk classification in lumbar spinal stenosis patients: development and multicenter validation.. Frontiers in medicine. https://doi.org/10.3389/fmed.2026.1910920
Source records
- pubmed · retrieved 2026-09-26T04:22:09.943Z