RDMA equips small LLMs with abbreviation resolution, phenotype reasoning, and ontology tools to mine rare diseases from EHR notes, outperforming fine-tuned and RAG baselines at up to 10x lower inference cost.
Nederlands tijdschrift voor geneeskunde 152(9), 518–519 (2008)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
RDMA: Cost Effective Agent-Driven Rare Disease Mining from Electronic Health Records
RDMA equips small LLMs with abbreviation resolution, phenotype reasoning, and ontology tools to mine rare diseases from EHR notes, outperforming fine-tuned and RAG baselines at up to 10x lower inference cost.