Application Progress of Machine Learning in Prognostic Prediction of Percutaneous Coronary Intervention: A Systematic Review

Jian Chen, Lu Huan Shen, Peng Fei Xia, Ke Qiang Xu

Open source

DOI
10.14740/jocmr6638
Published
2026-08
Container
Journal of Clinical Medicine Research
Publisher
Elmer Press, Inc.
Open access
unknown

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BibTeX

@article{allodium:10.14740/jocmr6638,
  title = {Application Progress of Machine Learning in Prognostic Prediction of Percutaneous Coronary Intervention: A Systematic Review},
  author = {Jian Chen and Lu Huan Shen and Peng Fei Xia and Ke Qiang Xu},
  year = {2026},
  journal = {Journal of Clinical Medicine Research},
  doi = {10.14740/jocmr6638},
  url = {https://doi.org/10.14740/jocmr6638}
}

RIS

TY  - JOUR
TI  - Application Progress of Machine Learning in Prognostic Prediction of Percutaneous Coronary Intervention: A Systematic Review
AU  - Jian Chen
AU  - Lu Huan Shen
AU  - Peng Fei Xia
AU  - Ke Qiang Xu
PY  - 2026
JO  - Journal of Clinical Medicine Research
DO  - 10.14740/jocmr6638
UR  - https://doi.org/10.14740/jocmr6638
ER  - 

APA

Chen, J., Shen, L. H., Xia, P. F., & Xu, K. Q. (2026). Application Progress of Machine Learning in Prognostic Prediction of Percutaneous Coronary Intervention: A Systematic Review. Journal of Clinical Medicine Research. https://doi.org/10.14740/jocmr6638

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