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2025 MLHC MLHC 2025

PhenoRAG: Retrieval-Augmented Generation for Efficient Zero-Shot Phenotype Identification in Clinical Reports

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Marc Berndt, Andrea Agostini, Beatrice Stocker, Maria Padrutt, Silvio Daniel Brugger, D Sean Froese, Daphné Chopard, Julia E Vogt

Topics

Machine Learning > Application Areas > Efficient Computing Natural Language Processing > Applications > Information Extraction Deep Learning > Models > Large Language Models

Keywords

retrieval-augmented generation clinical report contextually enriched sentences human phenotype ontology lightweight decoder-only model zero-shot phenotype identification
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