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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  -