TCM-DS: a large language model for intelligent traditional Chinese medicine edible herbal formulas recommendations.

ABSTRACT:

Background

The concept of medicine and food homology in traditional Chinese medicine (TCM) emphasized the dual role of certain material as both food and medicine, offering nutritional and therapeutic benefits. Edible herbal formulas, derived from this principle, are valuable for health management and chronic disease prevention.

Methods

This study proposes a domain-specific prescription recommendation model enriched by TCM edible herbal formula knowledge called TCM-DS model. A dataset including symptoms, TCM constitutions, formulas and their corresponding ingredients was developed. DeepSeek R1 base model was fine-tuned utilizing Low-rank adaptation (LoRA) fine-tuning and a retrieval-augmented generation (RAG) module to increase recommendation accuracy. TCM-DS model was evalua

SUBMITTER: Li X 

PROVIDER: S-EPMC12621383 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature