Development and interpretability of a machine learning model for postoperative hypothermia prediction in placenta previa Cesarean section: A retrospective cohort study.
- DOI
- 10.1177/03000605261485739
- Published
- 2026 Sep
- Container
- The Journal of international medical research
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1177/03000605261485739,
title = {Development and interpretability of a machine learning model for postoperative hypothermia prediction in placenta previa Cesarean section: A retrospective cohort study.},
author = {Zhu Y and Xie D and Liang R and Zhou CM},
year = {2026},
journal = {The Journal of international medical research},
doi = {10.1177/03000605261485739},
url = {https://doi.org/10.1177/03000605261485739}
}RIS
TY - JOUR TI - Development and interpretability of a machine learning model for postoperative hypothermia prediction in placenta previa Cesarean section: A retrospective cohort study. AU - Zhu Y AU - Xie D AU - Liang R AU - Zhou CM PY - 2026 JO - The Journal of international medical research DO - 10.1177/03000605261485739 UR - https://doi.org/10.1177/03000605261485739 ER -
APA
Y, Z., D, X., R, L., & CM, Z. (2026). Development and interpretability of a machine learning model for postoperative hypothermia prediction in placenta previa Cesarean section: A retrospective cohort study.. The Journal of international medical research. https://doi.org/10.1177/03000605261485739
Source records
- pubmed · retrieved 2026-09-25T15:20:46.872Z