We selected variables using the sequential forward selection (SFS) method. Three models were used and the classifiers in these models were the logistic regression (LR), gradient boosting (GB) and rand
Background & Aims: Mortality prediction models help to extract and relate patient data upon admission to intensive or intermediate care units (ImCU). Considering technical and economic healthcare deve
Abbreviations: SWIFT, stability and workload index for transfer; SOFA, sequential organ failure assessment; TISS-28, simplified therapeutic intervention scoring system. Sensitivity and specificity for
