Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation.
- DOI
- 10.1016/j.hlc.2026.03.061
- Published
- 2026 Aug 6
- Container
- Heart, lung & circulation
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.hlc.2026.03.061,
title = {Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation.},
author = {Zhang K and Min J and Zhong L and Xu J and Tan X},
year = {2026},
journal = {Heart, lung \& circulation},
doi = {10.1016/j.hlc.2026.03.061},
url = {https://doi.org/10.1016/j.hlc.2026.03.061}
}RIS
TY - JOUR TI - Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation. AU - Zhang K AU - Min J AU - Zhong L AU - Xu J AU - Tan X PY - 2026 JO - Heart, lung & circulation DO - 10.1016/j.hlc.2026.03.061 UR - https://doi.org/10.1016/j.hlc.2026.03.061 ER -
APA
K, Z., J, M., L, Z., J, X., & X, T. (2026). Interpretable Machine Learning Models for Mortality Prediction in Critically Ill Patients with Intra-Aortic Balloon Pump Therapy: Development and Evaluation.. Heart, lung & circulation. https://doi.org/10.1016/j.hlc.2026.03.061
Source records
- pubmed · retrieved 2026-09-26T11:01:01.675Z