Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
Interpretable machine learning for predicting intraoperative oxygenation impairment during one-lung ventilation in thoracic surgery: a retrospective cohort study
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BibTeX
@article{deng2026interpretable,
title = {{Interpretable machine learning for predicting intraoperative oxygenation impairment during one-lung ventilation in thoracic surgery: a retrospective cohort study}},
author = {Yijiang Deng and Jiarui Chen and Wenzhi Liu and Feng Zhu},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-74032-2},
url = {https://www.nature.com/articles/s41598-026-74032-2},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - Interpretable machine learning for predicting intraoperative oxygenation impairment during one-lung ventilation in thoracic surgery: a retrospective cohort study
AU - Yijiang Deng
AU - Jiarui Chen
AU - Wenzhi Liu
AU - Feng Zhu
PY - 2026
DA - 2026/10/25
JO - Scientific Reports
DO - 10.1038/s41598-026-74032-2
UR - https://www.nature.com/articles/s41598-026-74032-2
SN - 2045-2322
ER -