Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review.

Jafarkhani A, Imani B, Saeedi S, Shams A.

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DOI: 10.1002/hsr2.72391
Published: 2026-04-22
Container: Health Sci Rep
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1002/hsr2.72391,
  title = {Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review.},
  author = {Jafarkhani A and  Imani B and  Saeedi S and  Shams A.},
  year = {2026},
  journal = {Health Sci Rep},
  doi = {10.1002/hsr2.72391},
  url = {https://doi.org/10.1002/hsr2.72391}
}

RIS

TY  - JOUR
TI  - Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review.
AU  - Jafarkhani A
AU  -  Imani B
AU  -  Saeedi S
AU  -  Shams A.
PY  - 2026
JO  - Health Sci Rep
DO  - 10.1002/hsr2.72391
UR  - https://doi.org/10.1002/hsr2.72391
ER  -

APA

A, J., B, I., S, S., & A., S. (2026). Predicting Factors Affecting Postoperative Length of Stay in Patients Undergoing Coronary Artery Bypass Graft Surgery Using Machine Learning Methods: A Systematic Review.. Health Sci Rep. https://doi.org/10.1002/hsr2.72391

Source records

europe-pmc · retrieved 2026-09-26T21:39:39.555Z
doaj · retrieved 2026-09-26T21:39:39.555Z