Mapping Drug Terms via Integration of a Retrieval-Augmented Generation Algorithm with a Large Language Model

Objectives This study evaluated the efficacy of integrating a retrieval-augmented generation (RAG) model and a large language model (LLM) to improve the accuracy of drug name mapping across international vocabularies. Methods Drug ingredient names were translated into English using the Japanese Acce...

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Detaylı Bibliyografya
Asıl Yazarlar:	Eizen Kimura, Yukinobu Kawakami, Shingo Inoue, Ai Okajima
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	The Korean Society of Medical Informatics 2024-10-01
Seri Bilgileri:	Healthcare Informatics Research
Konular:	rxnorm machine learning computer neural network terminology controlled vocabulary
Online Erişim:	http://www.e-hir.org/upload/pdf/hir-2024-30-4-355.pdf
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Mapping Drug Terms via Integration of a Retrieval-Augmented Generation Algorithm with a Large Language Model

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