Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation.
- DOI
- 10.1097/shk.0000000000002937
- Published
- 2026 Sep 7
- Container
- Shock (Augusta, Ga.)
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1097/shk.0000000000002937,
title = {Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation.},
author = {Dong Y and Hou M and Wang Q and Sun X and Qu J and Xiang T and Liu X},
year = {2026},
journal = {Shock (Augusta, Ga.)},
doi = {10.1097/shk.0000000000002937},
url = {https://doi.org/10.1097/shk.0000000000002937}
}RIS
TY - JOUR TI - Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation. AU - Dong Y AU - Hou M AU - Wang Q AU - Sun X AU - Qu J AU - Xiang T AU - Liu X PY - 2026 JO - Shock (Augusta, Ga.) DO - 10.1097/shk.0000000000002937 UR - https://doi.org/10.1097/shk.0000000000002937 ER -
APA
Y, D., M, H., Q, W., X, S., J, Q., T, X., & X, L. (2026). Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation.. Shock (Augusta, Ga.). https://doi.org/10.1097/shk.0000000000002937
Source records
- pubmed · retrieved 2026-09-26T12:13:47.205Z
- europe-pmc · retrieved 2026-09-26T12:13:47.204Z