Subphenotyping heterogeneous patients with chronic critical illness to guide individualised fluid balance treatment using machine learning: a retrospective cohort study.Background

machine learning
Extreme Gradient Boosting (XGBoost) was used for phenotype classifier construction. 
Extreme Gradient Boosting (XGBoost)
A parametric G-formula model was applied to estimate the cumulative risk under different daily fluid management strategies in different subphenotypes of ICU mortality.



parametric G-formula model