Author

Abdul Karim

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Open access Sep 2026

Interpretable Machine Learning for In-Hospital Mortality Prediction in ICU Patients Using First-24-Hour Routine Vital Signs: A SHAP-Based MIMIC-IV Study

Background: Identification of ICU patients at increased risk of death may support clinical assessment and prioritization of care. However, many mortality prediction approaches incorporate extensive laboratory information, conventional severity scores, or computationally complex models that may limit straightforward int...

Abdul Karim, Jinwon Kim, In Cheol Jeong · Diagnostics · 0 citations

Open access Sep 2026

Physics-Informed and Data-Driven Forecasting of Chaotic Dynamics Across Lorenz and Rössler Systems

Reliable finite-horizon forecasting of chaotic dynamics is challenging because small approximation errors grow rapidly during recursive prediction. This study presents a controlled comparison of data-driven and physics-regularized forecasting methods for the Lorenz and Rössler systems. The proposed Hybrid Physics-Infor...

Abdul Karim, M. Carratù, In Cheol Jeong · Mathematics · 0 citations