Forecasting Bacterial Antimicrobial Resistance Trends Using Machine Learning on WHO GLASS Surveillance Data: A Retrieval-Augmented Generation Approach for Policy Decision Support

arXiv:2602.22673 · cs.LG, q-bio.QM · Submitted 2026-02-26 · Read on arXiv

cs.LG, q-bio.QM

Submitted: 2026-02-26

Updated: 2026-09-26

Code: https://github.com/TanvirTurja/amr-forecasting-rag

Terminology

• RAG — 17× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation — 8× in this paper
• Accuracy — 7× in this paper · explained in 1 episode
• World Health Organization — 6× in this paper
• Benchmark — 5× in this paper · explained in 2 episodes
• Interpretability — 5× in this paper · explained in 15 episodes
• Hallucination — 4× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 3× in this paper · explained in 16 episodes
• Time Series Forecasting — 2× in this paper · explained in 3 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Computational overhead — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Feature Engineering — 1× in this paper · explained in 3 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Long Short-Term Memory — 1× in this paper
• Mean Absolute Error — 1× in this paper
• Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
• Selection Bias — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

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