HyperAI Super Neural
Mar 5, 2026 · Artificial Intelligence
ML Predicts Dual Mortality Risk for HCC Liver Transplant Candidates (11,647 Cases)
Using a dataset of 11,647 hepatocellular carcinoma patients, a French research team combined ensemble learning, SHAP explainability, UMAP dimensionality reduction and K‑medoids clustering to build an interpretable model that outperforms traditional scores in predicting three‑month wait‑list mortality and defines seven clinically distinct risk sub‑groups.
Ensemble LearningHepatocellular CarcinomaK-Medoids
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