Author

M. S. Anto

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Open access Sep 2026

Towards Interpretable Risk: Multidimensional Context for ICU Mortality Predictions

ICU mortality models can achieve strong discrimination, yet a risk score alone provides limited context for patient-level interpretation. We developed a multidimensional prediction-context framework that complements a calibrated mortality estimate with model behavior, data availability, recent physiology, and model att...

S. Gupta, A. Das, M. S. Anto et al. · medRxiv · 0 citations

#machine learning Review Aug 2026

CoMedBench: A Multi-Source Benchmark of Synthetic Medical Data Fidelity and Downstream Utility

CoMedBench is introduced, a reproducible benchmark that evaluates a family of generators under a common clinical-validity framework and one shared training and evaluation engine, spanning static tabular and temporal downstream tasks on established critical-care datasets.

Akanta Das, Farhad Al-Amin Dipto, M. S. Anto et al. · 0 citations