Stacking ensemble of RF, LightGBM, and DNN achieves NPV greater than 99.9% on internal test sets for meningitis detection in ICU despite class imbalance, with robust sensitivity on external eICU data.
regular" non-meningitis samples for evaluation, resulting in excellent outcomes (AUC 0.9637, F1-score 0.9242). Testing Set 2 replaces these
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Ensemble Deep Learning Models for Early Detection of Meningitis in ICU: Multi-center Study
Stacking ensemble of RF, LightGBM, and DNN achieves NPV greater than 99.9% on internal test sets for meningitis detection in ICU despite class imbalance, with robust sensitivity on external eICU data.