Machine-Learning Versus Traditional Scores for Predicting Outcomes After Coronary Artery Bypass Graft Surgery: A Systematic Review and Meta-Analysis.

Gupta AK, Zaka A, Tyagi D, Mutahar D, Parvez R, Muston B, Farag M, Lombardo A, Eranki A, Wilson-Smith A, Song G, Stretton B, Kovoor JG, Bacchi S, Ramponi F, Chan JCY, Zaman S, Chow C, Kovoor P, Bennetts JS, Maddern GJ

Open source

DOI
10.1177/15533506261468192
Published
2026 Aug 5
Container
Surgical innovation
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1177/15533506261468192,
  title = {Machine-Learning Versus Traditional Scores for Predicting Outcomes After Coronary Artery Bypass Graft Surgery: A Systematic Review and Meta-Analysis.},
  author = {Gupta AK and Zaka A and Tyagi D and Mutahar D and Parvez R and Muston B and Farag M and Lombardo A and Eranki A and Wilson-Smith A and Song G and Stretton B and Kovoor JG and Bacchi S and Ramponi F and Chan JCY and Zaman S and Chow C and Kovoor P and Bennetts JS and Maddern GJ},
  year = {2026},
  journal = {Surgical innovation},
  doi = {10.1177/15533506261468192},
  url = {https://doi.org/10.1177/15533506261468192}
}

RIS

TY  - JOUR
TI  - Machine-Learning Versus Traditional Scores for Predicting Outcomes After Coronary Artery Bypass Graft Surgery: A Systematic Review and Meta-Analysis.
AU  - Gupta AK
AU  - Zaka A
AU  - Tyagi D
AU  - Mutahar D
AU  - Parvez R
AU  - Muston B
AU  - Farag M
AU  - Lombardo A
AU  - Eranki A
AU  - Wilson-Smith A
AU  - Song G
AU  - Stretton B
AU  - Kovoor JG
AU  - Bacchi S
AU  - Ramponi F
AU  - Chan JCY
AU  - Zaman S
AU  - Chow C
AU  - Kovoor P
AU  - Bennetts JS
AU  - Maddern GJ
PY  - 2026
JO  - Surgical innovation
DO  - 10.1177/15533506261468192
UR  - https://doi.org/10.1177/15533506261468192
ER  - 

APA

AK, G., A, Z., D, T., D, M., R, P., B, M., M, F., A, L., A, E., A, W., G, S., B, S., JG, K., S, B., F, R., JCY, C., S, Z., C, C., P, K., JS, B., & GJ, M. (2026). Machine-Learning Versus Traditional Scores for Predicting Outcomes After Coronary Artery Bypass Graft Surgery: A Systematic Review and Meta-Analysis.. Surgical innovation. https://doi.org/10.1177/15533506261468192

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