Interpretable Machine Learning for In-Hospital Mortality Prediction in Patients With Diabetes and ARDS: Development and External Validation.

Dong Y, Hou M, Wang Q, Sun X, Qu J, Xiang T, Liu X

Open source

DOI
10.1097/shk.0000000000002937
Published
2026 Sep 7
Container
Shock (Augusta, Ga.)
Publisher
Not recorded
Open access
no

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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

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