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stat.ME2026
BRP-GABLE: An Interpretable Rule-Based Prediction Framework for Multiple Outcome Types
Yulong Li, Ke Wan, Toshio Shimokawa +1
Interpretable prediction models are important in biomedical research, where predictive accuracy must often be balanced against the ability to examine predictor-outcome relationship…
cs.LG2026
Federated Rule Ensemble Method in Medical Data
Ke Wan, Kensuke Tanioka, Toshio Shimokawa
Machine learning has become integral to medical research and is increasingly applied in clinical settings to support diagnosis and decision-making; however, its effectiveness depen…