Application Progress of Machine Learning in Prognostic Prediction of Percutaneous Coronary Intervention: A Systematic Review
- DOI
- 10.14740/jocmr6638
- Published
- 2026-08
- Container
- Journal of Clinical Medicine Research
- Publisher
- Elmer Press, Inc.
- Open access
- unknown
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Cite this work
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
Source records
- crossref · retrieved 2026-09-24T22:14:19.335Z