Machine Learning in Assessing Intraoperative Blood Loss: A Systematic Review and Meta-Analysis.

Zhou W, Pan L, Pan X, Li Y, Rao L, Li H

DOI: 10.1111/inr.70159
Published: 2026 Mar
Container: International nursing review
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1111/inr.70159,
  title = {Machine Learning in Assessing Intraoperative Blood Loss: A Systematic Review and Meta-Analysis.},
  author = {Zhou W and Pan L and Pan X and Li Y and Rao L and Li H},
  year = {2026},
  journal = {International nursing review},
  doi = {10.1111/inr.70159},
  url = {https://doi.org/10.1111/inr.70159}
}

RIS

TY  - JOUR
TI  - Machine Learning in Assessing Intraoperative Blood Loss: A Systematic Review and Meta-Analysis.
AU  - Zhou W
AU  - Pan L
AU  - Pan X
AU  - Li Y
AU  - Rao L
AU  - Li H
PY  - 2026
JO  - International nursing review
DO  - 10.1111/inr.70159
UR  - https://doi.org/10.1111/inr.70159
ER  -

APA

W, Z., L, P., X, P., Y, L., L, R., & H, L. (2026). Machine Learning in Assessing Intraoperative Blood Loss: A Systematic Review and Meta-Analysis.. International nursing review. https://doi.org/10.1111/inr.70159

Source records

pubmed · retrieved 2026-09-26T06:21:07.942Z