Predicting Mortality After Percutaneous Coronary Intervention in a Multiethnic Southeast Asian Population: Insights From Machine Learning.
- DOI
- 10.1007/s12265-026-10812-5
- Published
- 2026 Jul 6
- Container
- Journal of cardiovascular translational research
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1007/s12265-026-10812-5,
title = {Predicting Mortality After Percutaneous Coronary Intervention in a Multiethnic Southeast Asian Population: Insights From Machine Learning.},
author = {Liew YM and Chiam YK and Ngo PL and Tan HY and Md Sari NA and Tan LK and Wan Ahmad WA and Chee KH},
year = {2026},
journal = {Journal of cardiovascular translational research},
doi = {10.1007/s12265-026-10812-5},
url = {https://doi.org/10.1007/s12265-026-10812-5}
}RIS
TY - JOUR TI - Predicting Mortality After Percutaneous Coronary Intervention in a Multiethnic Southeast Asian Population: Insights From Machine Learning. AU - Liew YM AU - Chiam YK AU - Ngo PL AU - Tan HY AU - Md Sari NA AU - Tan LK AU - Wan Ahmad WA AU - Chee KH PY - 2026 JO - Journal of cardiovascular translational research DO - 10.1007/s12265-026-10812-5 UR - https://doi.org/10.1007/s12265-026-10812-5 ER -
APA
YM, L., YK, C., PL, N., HY, T., NA, M. S., LK, T., WA, W. A., & KH, C. (2026). Predicting Mortality After Percutaneous Coronary Intervention in a Multiethnic Southeast Asian Population: Insights From Machine Learning.. Journal of cardiovascular translational research. https://doi.org/10.1007/s12265-026-10812-5
Source records
- pubmed · retrieved 2026-09-26T06:24:57.332Z