Author

Jorge Robalino-Díaz

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Open access Oct 2026

Multi-environment evaluation and decision-level analysis of clinical prediction models under dataset shift

Clinical machine-learning models are often evaluated within a single dataset, although deployment occurs across heterogeneous institutions and measurement processes. We evaluated Logistic Regression, Random Forest, and Gradient Boosting for ICU hospital-mortality prediction across MIMIC-III Demo and eICU using a 24-h l...

Jorge Robalino-Díaz, A. Cabrera-Andrade, A. K. Zambrano et al. · Frontiers in Digital Health · 0 citations

Open access Oct 2026

BioGraphBench-PPI enables audit-first evaluation of negative-sampling contracts and structural baselines in protein interaction networks

Biomedical graph-learning results are difficult to compare when source versions, identifier rules, data splits, structural features, and sampled-nonedge contracts are incompletely documented. We developed BioGraphBench-PPI as an audit-first benchmark for protein-protein interaction (PPI) link prediction usin...

A. Cabrera-Andrade, Jorge Robalino-Díaz, I. Dueñas-Espín et al. · Frontiers in Bioinformatics · 0 citations