Recently, machine learning models have seen considerable growth in size and popularity, lead-ing to concerns regarding dataset privacy, especially around sensitive data containing personal information
ABSTRACT Objective To explore an artificial intelligence approach based on gradient-boosted decision trees for prediction of all-cause mortality at an intensive care unit, comparing its performance to
