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Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach

Predicting Sepsis Mortality in a Population-Based National Database: Machine Learning Approach

Lundberg and Lee [32] proposed the SHAP value as a united approach to explaining the output of any ML model. We calculated the SHAP values of each feature for each sample and extracted the top 50 variables based on the mean SHAP values. We developed four models using ML approaches: (1) logistic regression with least absolute shrinkage and selection operator (LASSO) regularization (LASSO regression), (2) random forest, (3) gradient-boosted decision tree, and (4) deep neural network.

James Yeongjun Park, Tzu-Chun Hsu, Jiun-Ruey Hu, Chun-Yuan Chen, Wan-Ting Hsu, Matthew Lee, Joshua Ho, Chien-Chang Lee

J Med Internet Res 2022;24(4):e29982