Frontiers in Public Health
Predicting 6-month decisional regret among family surrogate decision-makers of ICU patients: development and internal validation of prediction models
Aim To develop and internally validate prediction models estimating the individual probability of high decisional regret at 6 months among family surrogate decision-makers (FSDMs) of intensive care unit (ICU) patients, and to compare regression-based and machine-learning approaches with respect to discrimination, calibration and clinical utility. Design A single-center prospective cohort study for the development and internal validation of prediction models. Methods This single-center observational prediction-model …