mlsanityData to 7 Oct 2026

Ensemble Deep Learning Models for Early Detection of Meningitis in ICU: Multi-center Study

arXiv 2510.15218 ↗First posted 17 Oct 2025cs.LGcited by 0

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Abstract (arXiv)

The stacking ensemble combining RF, LightGBM, and DNN performed well on internal test sets, exhibiting an NPV greater than 99.9% even with substantial class imbalance. While performance was lower on the external eICU cohort compared to the internal test sets, sensitivity remained robust. Therefore, the stacking ensemble may serve as a rule-out screening option for ERs and ICUs after additional prospective multi-site validation studies for its efficacy in real-world.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 56 references that are in the map. First posted on arXiv 17 Oct 2025.

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4 of 56 references.

References · 4

  1. 2017A Unified Approach to Interpreting Model Predictionscited by 6,488
  2. 2017Neural Factorization Machines for Sparse Predictive Analyticscited by 183
  3. 2020StackGenVis: Alignment of Data, Algorithms, and Models for Stacking Ensemble Learning Using Performance Metricscited by 13
  4. 2024Recent Advances in Predictive Modeling with Electronic Health Recordscited by 11

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