… The research setting and experimental design for the … have attempted to predict mortality
using similar approaches based on … modeling to enhance model stability and the prediction of …

… for intensive care (MIMIC) II database to build a locally customized logistic regression model
to predict mortality … However, most of these studies use logistic regression as the modeling …

… However, the accurate prediction of mortality or LOS is not of … We simulated this by fixing a
test set comprised of patients … are related to the single-center design, which creates a risk of …

… to use machine learning to construct a model for the analysis of risk factors and prediction of
mortality … role in predicting mortality of patients with COVID-19 when using an interpretable …

… Figure 4 shows the distribution of AUC according to the size of dataset, for all prediction
studies and for studies predicting mortality or complications, with AUCs from the 10 studies that …

… acute physiology measures collected at ICU admission are used to predict mortality, but are
non-specific, and predictions … had no role in study design, data collection, data analysis, data …

… the ability of a simple functional classification of SCAI shock stages at the time of cardiac
intensive care unit (CICU) admission to predict mortality in unselected CICU patients. …

… patterns, a critical task in the intensive care unit. We propose a novel … However, predicted
mortality according to DeepSOFA … Prediction modeling was limited to data accrued during ICU …

… is commonly seen in adults in the intensive care unit (ICU). AKI is one … Our approach, in
contrast, involves the careful modeling of a … This study was a retrospective analysis of critical care …

… applied to predict mortality, length of stay, and diagnoses (particularly sepsis) using EHR …
to achieve informative AUCs in modeling these targets same-period and predicting next-day. …