Feedback-Robust AI for Patient Knowledge Graphs

arXiv:2609.33248 · cs.LG · Submitted 2026-09-27 · Read on arXiv

cs.LG

Submitted: 2026-09-27

Updated: 2026-09-27

Terminology

• Calibration — 19× in this paper · explained in 7 episodes
• AUROC — 17× in this paper · explained in 2 episodes
• Accuracy — 9× in this paper · explained in 1 episode
• Alignment — 8× in this paper · explained in 1 episode
• Knowledge Graph — 8× in this paper · explained in 7 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Grounding — 5× in this paper · explained in 3 episodes
• Knowledge graphs — 5× in this paper · explained in 2 episodes
• Causal Discovery — 4× in this paper · explained in 2 episodes
• In International Conference on Learning Representations — 3× in this paper
• Benchmarking — 2× in this paper · explained in 4 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Exchangeability — 2× in this paper · explained in 2 episodes
• F1 Score — 2× in this paper · explained in 3 episodes
• Fidelity — 2× in this paper · explained in 2 episodes
• Generative AI — 2× in this paper · explained in 2 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• APEX — 1× in this paper · explained in 1 episode
• Abstention — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Closed-Loop Control — 1× in this paper · explained in 3 episodes
• Clustering — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• EMMA — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• International Conference on Machine Learning — 1× in this paper
• Nadia — 1× in this paper · explained in 2 episodes
• Non-Gaussianity — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 4 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• System Identification — 1× in this paper · explained in 3 episodes

Sources

• A Shift Test for Independence in Generic Time Series
• False positive control in time series coincidence detection
• ShifaMind: A Multiplicative Concept Bottleneck for Interpretable ICD-10 Coding

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