Multiple machine learning models for predicting major adverse cardiovascular events in dialysis with clinical and echocardiographic parameters: a retrospective cohort study.
- DOI
- 10.1080/07853890.2026.2698905
- Published
- 2026 Dec
- Container
- Annals of medicine
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1080/07853890.2026.2698905,
title = {Multiple machine learning models for predicting major adverse cardiovascular events in dialysis with clinical and echocardiographic parameters: a retrospective cohort study.},
author = {Jin M and Lin Z and Ma L and Li B and Huang X and Chen M},
year = {2026},
journal = {Annals of medicine},
doi = {10.1080/07853890.2026.2698905},
url = {https://doi.org/10.1080/07853890.2026.2698905}
}RIS
TY - JOUR TI - Multiple machine learning models for predicting major adverse cardiovascular events in dialysis with clinical and echocardiographic parameters: a retrospective cohort study. AU - Jin M AU - Lin Z AU - Ma L AU - Li B AU - Huang X AU - Chen M PY - 2026 JO - Annals of medicine DO - 10.1080/07853890.2026.2698905 UR - https://doi.org/10.1080/07853890.2026.2698905 ER -
APA
M, J., Z, L., L, M., B, L., X, H., & M, C. (2026). Multiple machine learning models for predicting major adverse cardiovascular events in dialysis with clinical and echocardiographic parameters: a retrospective cohort study.. Annals of medicine. https://doi.org/10.1080/07853890.2026.2698905
Source records
- pubmed · retrieved 2026-09-26T00:15:18.110Z