HIGHLIGHTS
SUMMARY
Risk predictions for sepsis patients using machine_learning techniques have been studied. The authors revealed the disparities in the proportions of sepsis in subpopulations of social determinants groups from a cohort of patients admitted for critical care services and examined the fluctuations in the performances of mortality prediction for subpopulations of sepsis patients when using machine_learning classifiers. Mortality prediction for sepsis patients using machine_learning The authors built machine_learning classifiers to predict mortality for sepsis patients. Before training the machine_learning configurations, each feature was scaled to 0 to 1 to avoid the impact of different magnitudes . . .
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