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Yu-Long Li

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Preprint Sep 2026

BRP-GABLE: An Interpretable Rule-Based Prediction Framework for Multiple Outcome Types

Interpretable prediction models are important in biomedical research, where predictive accuracy must often be balanced against the ability to examine predictor-outcome relationships. Automatic Binary Logistic Estimation (ABLE) provides interpretable rule-based representations by constructing additive models using thres...

Yu-Long Li, Ke Wan, Toshio Shimokawa et al. · 0 citations
#artificial intelligence Preprint Sep 2026

DoAtlas-2: A Foundation for Self-Evolving Causal Biomedical Discovery

Representative studies identify blood pressure as a convergence node linking adiposity, hepatic, and lipid phenotypes to vascular outcomes, and show that an adiposity-inflammation-blood-pressure pathway is largely attenuated by joint adjustment for body mass index (BMI) and smoking.

Yu-Long Li, Rong Xia, Yuxuan Zhang et al. · 0 citations

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