CMM-EmbedCluster: a clustering framework for Chinese materia medica based on large language model and Chinese materia medica property theory

Objective: This study proposes a clustering framework for Chinese materia medica (CMM) based on a large language model (LLM), aiming to explore potential compatibility patterns among CMMs from the semantic perspective of CMM property theory. Methods: First, a CMM property knowledge base was construc...

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Autori principali:	He Jiayi, Xie Jiadong, Hu Kongfa, Li Haiyan
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	KeAi Communications Co., Ltd. 2026-06-01
Serie:	Digital Chinese Medicine
Soggetti:	Large language model Chinese materia medica property theory Chinese materia medica clustering Semantic representation k-Means clustering CMM-EmbedCluster
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2589377726000753
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