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TCMLLM-PR:evaluation of large language models for prescription recommendation in traditional Chinese medicine

TIAN Haoyu YANG Kuo DONG Xin ZHAO Chenxi YE Mingwei WANG Hongyan LIU Yiming HU Minjie ZHU Qiang YU Jian ZHANG Lei ZHOU Xuezhong

Digital Chinese Medicine2024，Vol.7Issue(4)：P.343-355,13.

Digital Chinese Medicine2024，Vol.7Issue(4)：P.343-355,13.DOI:10.1016/j.dcmed.2025.01.007

TCMLLM-PR:evaluation of large language models for prescription recommendation in traditional Chinese medicine

TIAN Haoyu ¹YANG Kuo ¹DONG Xin ¹ZHAO Chenxi ¹YE Mingwei ¹WANG Hongyan ¹LIU Yiming ¹HU Minjie ¹ZHU Qiang ¹YU Jian ¹ZHANG Lei ²ZHOU Xuezhong¹

作者信息

1. Beijing Key Lab of Traffic Data Analysis and Mining,School of Computer Science&Technology,Beijing Jiaotong University,Beijing 100044,China
2. National Data Center of Traditional Chinese Medicine,China Academy of Chinese Medical Sciences,Beijing 100700,China
折叠

摘要

关键词

Large language models/Instruction-tuning/Prescription recommendation/Traditional Chinese medicine(TCM)/Assisted decision-making

分类

医药卫生

引用本文复制引用

TIAN Haoyu,YANG Kuo,DONG Xin,ZHAO Chenxi,YE Mingwei,WANG Hongyan,LIU Yiming,HU Minjie,ZHU Qiang,YU Jian,ZHANG Lei,ZHOU Xuezhong..TCMLLM-PR:evaluation of large language models for prescription recommendation in traditional Chinese medicine[J].Digital Chinese Medicine,2024,7(4):P.343-355,13.

基金项目

National Key Research and Development Program(2023YFC3502604) （2023YFC3502604）

National Natural Science Foundation of China(U23B2062 and 82374302). （U23B2062 and 82374302）

Digital Chinese Medicine

ISSN：2096-479X

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