Author

M. S. Anto

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Open access Sep 2026

Towards Interpretable Risk: Multidimensional Context for ICU Mortality Predictions

A multidimensional prediction-context framework that complements a calibrated mortality estimate with model behavior, data availability, recent physiology, and model attribution is developed, extending interpretation beyond risk scores and feature rankings alone.

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