ALIGN, a compositional zero-shot LLM system with candidate generation, self-evaluation, and uncertainty-based human deferral, improves ATC and MedDRA coding accuracy on 22 historical immunology trials compared with prompting and RAG baselines.
Minimizing Patient Burden Through the Use of Historical Subject-Level Data in Innovative Confirmatory Clinical Trials: Review of Methods and Opportunities
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Unlocking Historical Clinical Trial Data with ALIGN: A Compositional Large Language Model System for Medical Coding
ALIGN, a compositional zero-shot LLM system with candidate generation, self-evaluation, and uncertainty-based human deferral, improves ATC and MedDRA coding accuracy on 22 historical immunology trials compared with prompting and RAG baselines.