David Kahan, Thomas L McKenzie
Energy expenditure estimates during school physical education: Potential vs. reality?
Preventive medicine
sepsisassociated liver injury sali independent risk factor death sepsis aim study develop interpretable machine learning model early prediction 28day mortality patients sali data medical information mart intensive care mimiciv v22 mimiciii v14 used study study cohort mimiciv randomized training set 07 internal validation set 03 mimiciii 2001 2008 external validation features 20 missing values deleted remaining features multiple interpolated lassocv lasso linear model iterative fitting along regularization path best model selected crossvalidation used select important features model development eight machine learning models including random forest rf logistic regression decision tree extreme gradient boost xgboost k nearest neighbor support vector machine generalized linear models best model selected crossvalidation cvglmnet linear discriminant analysis lda developed shapley additive interpretation shap used improve interpretability optimal model last total 1043 patients included 710 mimiciv 333 mimiciii twentyfour clinically relevant parameters selected model construction prediction 28day mortality sali internal validation set area curve auc 95 ci rf 079 95 ci 073086 performed best compared traditional disease severity scores including oxford acute severity illness score oasis sequential organ failure assessment sofa simplified acute physiology score ii saps ii logistic organ dysfunction score lods systemic inflammatory response syndrome sirs acute physiology score iii aps iii rf also best performance shap analysis found urine output charlson comorbidity index cci minimal glasgow coma scale gcsmin blood urea nitrogen bun admissionage five important features affecting rf model therefore rf good predictive ability 28day mortality prediction sali urine output cci gcsmin bun age admissionadmissionage within 24 h intensive care uniticu admission contribute significantly model prediction