Published September 21, 2026
| Version v1.0
Software
Open
Code for Predicting Short-Term Mortality in Sepsis-Associated Acute Kidney Injury
Authors/Creators
- 1. The Tenth Clinical Medical College of Guangzhou University of Traditional Chinese Medicine
- 2. Zhongshan Hospital of Traditional Chinese Medicine
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3.
PLA Information Engineering University
- 4. The Tenth Ciinical Medical College of Guangzhou University of Traditional Chinese Medicine
- 5. Guangzhou University of Chinese Medicine
Description
R/mlr3 pipeline for the final penalized logistic regression model, including preprocessing, LASSO feature selection, SHAP analysis, and the Shiny application source code.