Interpretable Machine Learning for 30-Day Mortality in PIVSR: A Cohort Study.

Wang BR, Cheng ZY, Zhao ZN, Zhang GB, Xie ZL, Li JC, Zhang Y

DOI: 10.1055/a-2926-9824
Published: 2026 Aug 18
Container: The Thoracic and cardiovascular surgeon
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1055/a-2926-9824,
  title = {Interpretable Machine Learning for 30-Day Mortality in PIVSR: A Cohort Study.},
  author = {Wang BR and Cheng ZY and Zhao ZN and Zhang GB and Xie ZL and Li JC and Zhang Y},
  year = {2026},
  journal = {The Thoracic and cardiovascular surgeon},
  doi = {10.1055/a-2926-9824},
  url = {https://doi.org/10.1055/a-2926-9824}
}

RIS

TY  - JOUR
TI  - Interpretable Machine Learning for 30-Day Mortality in PIVSR: A Cohort Study.
AU  - Wang BR
AU  - Cheng ZY
AU  - Zhao ZN
AU  - Zhang GB
AU  - Xie ZL
AU  - Li JC
AU  - Zhang Y
PY  - 2026
JO  - The Thoracic and cardiovascular surgeon
DO  - 10.1055/a-2926-9824
UR  - https://doi.org/10.1055/a-2926-9824
ER  -

APA

BR, W., ZY, C., ZN, Z., GB, Z., ZL, X., JC, L., & Y, Z. (2026). Interpretable Machine Learning for 30-Day Mortality in PIVSR: A Cohort Study.. The Thoracic and cardiovascular surgeon. https://doi.org/10.1055/a-2926-9824

Source records

pubmed · retrieved 2026-09-25T18:27:26.328Z
europe-pmc · retrieved 2026-09-25T18:27:26.328Z