当前“中医”主要有“Traditional Chinese Medicine(TCM)”与“Chinese Medicine(CM)”两种译法。国际上对这两种译法的接受度和使用率较高,但“TCM”与“CM”有着各自不同的特点和语境。在不同的语境中,选择合适的翻译形式对于准确传...当前“中医”主要有“Traditional Chinese Medicine(TCM)”与“Chinese Medicine(CM)”两种译法。国际上对这两种译法的接受度和使用率较高,但“TCM”与“CM”有着各自不同的特点和语境。在不同的语境中,选择合适的翻译形式对于准确传达“中医”概念至关重要。本文分析了“中医”的内涵及当前国内外对其的英译情况,并在此基础上提出了关于“中医”英译的思考。展开更多
[Objectives]To investigate optimal storage methods and shelf life determination for several representative bagged traditional Chinese medicine(TCM)decoctions under centralized preparation conditions in intelligent TCM...[Objectives]To investigate optimal storage methods and shelf life determination for several representative bagged traditional Chinese medicine(TCM)decoctions under centralized preparation conditions in intelligent TCM pharmacies.[Methods]First,the nourishing formula was prepared and packaged in bags.Under the three storage conditions of 37℃before cold storage(including full high temperature),cold storage before 37℃(including full cold storage),and alternating 37℃and cold storage,the 30 d cycle was investigated to determine the total microbial colony count,so as to determine a reasonable storage method of traditional Chinese medicine decoction.Secondly,five representative prescriptions were prepared and packaged in bags,stored under 37℃,room temperature and cold conditions.The investigation period was 30 d.The pH,total bacterial count and soluble solid content were measured,and the changes of each index were analyzed to obtain the shelf life of the bagged Chinese medicine decoction.[Results]First,the nourishing formula was investigated for 30 d.The microbial results of refrigeration after 1-2 d of 37℃,complete refrigeration and 37℃cooling with an alternate interval of 2 d or less met the requirements,while the microbial results of refrigeration after 3 d or above of 37℃,refrigeration after 1-5 d and then 37℃,complete 37℃,37℃and cooling with an alternate interval of 3 d or above excessive microorganism.Second,under the condition of 37℃storage,the pH of the five prescriptions decreased significantly,the total microbial colonies exceeded the standard,and the solid content decreased significantly.However,under the condition of room temperature and cold storage,the pH,total microbial colonies,and solid content of the five prescriptions remained stable.[Conclusions]The first is to refrigerate the decoction after 1-2 d of 37℃,completely refrigerate it,and refrigerate the decoction with an alternate interval of 2 d or less at 37℃.The shelf life can last for 30 d.Several storage conditions are conducive to guiding the development of the storage mode of the decoction.Second,under the conditions of cold storage,all the indexes were stable,and the shelf life of the five representative formulas was 30 d.展开更多
Objective To improve the accuracy and professionalism of question-answering(QA)model in traditional Chinese medicine(TCM)lung cancer by integrating large language models with structured knowledge graphs using the know...Objective To improve the accuracy and professionalism of question-answering(QA)model in traditional Chinese medicine(TCM)lung cancer by integrating large language models with structured knowledge graphs using the knowledge graph(KG)to text-enhanced retrievalaugmented generation(KG2TRAG)method.Methods The TCM lung cancer model(TCMLCM)was constructed by fine-tuning Chat-GLM2-6B on the specialized datasets Tianchi TCM,HuangDi,and ShenNong-TCM-Dataset,as well as a TCM lung cancer KG.The KG2TRAG method was applied to enhance the knowledge retrieval,which can convert KG triples into natural language text via ChatGPT-aided linearization,leveraging large language models(LLMs)for context-aware reasoning.For a comprehensive comparison,MedicalGPT,HuatuoGPT,and BenTsao were selected as the baseline models.Performance was evaluated using bilingual evaluation understudy(BLEU),recall-oriented understudy for gisting evaluation(ROUGE),accuracy,and the domain-specific TCM-LCEval metrics,with validation from TCM oncology experts assessing answer accuracy,professionalism,and usability.Results The TCMLCM model achieved the optimal performance across all metrics,including a BLEU score of 32.15%,ROUGE-L of 59.08%,and an accuracy rate of 79.68%.Notably,in the TCM-LCEval assessment specific to the field of TCM,its performance was 3%−12%higher than that of the baseline model.Expert evaluations highlighted superior performance in accuracy and professionalism.Conclusion TCMLCM can provide an innovative solution for TCM lung cancer QA,demonstrating the feasibility of integrating structured KGs with LLMs.This work advances intelligent TCM healthcare tools and lays a foundation for future AI-driven applications in traditional medicine.展开更多
中压设备是列车上较大功率的设备,这些设备分散在列车各系统中,由辅助供电系统集中为其供电。由于电感效应,中压设备启动时的峰值电流会对辅助供电系统的安全性和稳定性产生不利影响。为保证列车辅助供电系统稳定、可靠运行,需要有效地...中压设备是列车上较大功率的设备,这些设备分散在列车各系统中,由辅助供电系统集中为其供电。由于电感效应,中压设备启动时的峰值电流会对辅助供电系统的安全性和稳定性产生不利影响。为保证列车辅助供电系统稳定、可靠运行,需要有效地控制中压设备启动时的峰值电流。基于列车控制与管理系统(TCMS,Train Control and Management System)的控制逻辑,研究列车上电自检阶段中压设备错时顺序启动控制方法,列车运行中空调压缩机错时启动控制方法,以及辅助供电系统故障工况下中压设备减载启动控制方法,避免中压负载峰值电流叠加对辅助供电系统造成的不良影响,确保在故障情况下有足够的辅助供电能力。通过实验室仿真测试和运营线上实车试验,初步验证了在辅助供电备用率和启动峰值电流的限制约束下,列车中压设备启动控制方法的有效性。展开更多
本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容...本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容、推广应用和实施效益等几方面特征的综合评价工具。文中详述了SCORE-TCM的构建目的、定义和构建过程,解释了评价指标体系中的各项指标,并对每项指标的评价材料进行介绍。本文旨在帮助中医药团体标准的制定者、第三方评价机构和其他相关方更好地理解SCORE-TCM各评价条目的含义,更有效地运用于中医药团体标准的自评价或第三方评价,SCORE-TCM将为《中医药团体标准管理办法》的贯彻实施,以及中医药团体标准的高质量发展提供技术支持。展开更多
目前,各社会团体积极参与中医药标准的制定和发布,特别是“十四五”以来,中医药团体标准化工作更是迎来了提质增效的关键阶段。深入评估社会团体发布的中医药标准质量,是推进中医药团体标准工作的关键环节和重点任务。前期已研制并形成...目前,各社会团体积极参与中医药标准的制定和发布,特别是“十四五”以来,中医药团体标准化工作更是迎来了提质增效的关键阶段。深入评估社会团体发布的中医药标准质量,是推进中医药团体标准工作的关键环节和重点任务。前期已研制并形成了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine, SCORETCM)。在上述背景下,本研究通过专家共识法,设计了一套基于SCORE-TCM的中医药团体标准抽样评价方案,应用场景为对于特定社会团体发布的标准,或各团体发布的特定技术类别的标准进行快速评估。该方案涵盖了标准抽样、材料收集、标准评价、结果解读的完整流程,为中医药团体标准的抽样评价工作提供了参考方案。展开更多
Chen Shigong,styled name Yuren,was also known by the literary name Ruoxu.Coming from Donghaichongchuan(present Nantong City,Jiangsu Province)he was a famous traditional Chinese medicine(TCM)specialist of external medi...Chen Shigong,styled name Yuren,was also known by the literary name Ruoxu.Coming from Donghaichongchuan(present Nantong City,Jiangsu Province)he was a famous traditional Chinese medicine(TCM)specialist of external medicine of the Ming Dynasty(1368-1644).The Orthodox Lineage of External Medicine(Wai Ke Zheng Zong)written by him has been valued as the founder of the TCM Orthodox School of External Medicine.展开更多
1 Introduction.Chinese medicine has a long and rich history,dating back to the classics of the Qin and Han dynasties and extending to the integration of Chinese and Western medicine in the modern era.The vast amount o...1 Introduction.Chinese medicine has a long and rich history,dating back to the classics of the Qin and Han dynasties and extending to the integration of Chinese and Western medicine in the modern era.The vast amount of literature and scholarly works in this field makes it essential to thoroughly study the history of traditional Chinese medicine(TCM)in order to understand its development path throughout the ages and boost innovation based on tradition.This is why the sages emphasized the importance of“classifying the works into different schools and tracing back to their origins”(辨章学术,考镜源流).展开更多
The interview was conducted on November 20th,2022 by Ioannis Solos and Charles Buck.Ted Kaptchuk(泰开阳)is a Professor of Medicine and a Professor of Global Health&Social Medicine at Harvard Medical School.In 1975...The interview was conducted on November 20th,2022 by Ioannis Solos and Charles Buck.Ted Kaptchuk(泰开阳)is a Professor of Medicine and a Professor of Global Health&Social Medicine at Harvard Medical School.In 1975,he graduated from the Macao Institute of Chinese Medicine,Macao,China.After returning to the West,Ted taught Chinese medicine throughout the States,Europe,Latin America,and Australia.Ted’s book,The Web that Has No Weaver:Understanding Chinese Medicine is a groundbreaking explanation of East Asian medicine that continues to shape the discourse of the Chinese medicine profession in the West and has been translated into 13 languages.In 1990,Ted was recruited in Harvard Medical School to help research Chinese medicine.After encountering high placebo responses in multiple acupuncture clinical trials,Ted decided to switch his career to primarily studying placebo.He has published over 300 peer-reviewed articles.He has been awarded the Lifetime Achievement Award from the Society of Acupuncture Research(2015),the Lifetime Achievement Award from the Society for Interdisciplinary Placebo Studies(2021),and the William Silen Lifetime Achievement Award in Mentoring from Harvard Medical School(2022).展开更多
Sichuan province is home to rich traditional Chinese medicine(TCM)resources.Recent years have seen unremitting efforts of TCM standardization in the province.By analyzing the measures and existing problems,this paper ...Sichuan province is home to rich traditional Chinese medicine(TCM)resources.Recent years have seen unremitting efforts of TCM standardization in the province.By analyzing the measures and existing problems,this paper provides recommendations to boost TCM development through standardization.展开更多
A Spanish businessman becomes a dedicated advocate of traditional Chinese medicine after witnessing its effects in treating his terminally ill young son.MY relationship with traditional Chinese medicine(TCM)-and with ...A Spanish businessman becomes a dedicated advocate of traditional Chinese medicine after witnessing its effects in treating his terminally ill young son.MY relationship with traditional Chinese medicine(TCM)-and with China-began in 1988,when I traveled to Beijing with my two-year-old son Joan.He was suffering from an extremely rare disease called leukoencephalopathy,in which the brain is affected,and we wanted to explore treatment possibilities.展开更多
Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry poin...Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning.Audio features were extracted from voice recordings in the TCM pulse condition dataset.The obtained features were combined with information from tongue and facial diagnoses.A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation,and the modeling methods were validated using publicly available datasets.Results: The analysis showed that the proposed method achieved an accuracy of 92.59%on the public dataset.The accuracies of the three single-label pulse manifestation models in the test set were 94.27%,96.35%,and 95.39%.The absolute accuracy of the multi-label model was 92.74%.Conclusion: Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.展开更多
This paper mainly analyzes the application status of TCM rehabilitation in chronic obstructive pulmonary disease(COPD),hoping to provide support and help for clinical staff through this study,and promote the further d...This paper mainly analyzes the application status of TCM rehabilitation in chronic obstructive pulmonary disease(COPD),hoping to provide support and help for clinical staff through this study,and promote the further development of COPD rehabilitation program.展开更多
“Traditional Chinese medicine(TCM)is very popular in Cambodia because it can treat a variety of diseases,”said Nhek Soparama,ministercounselor of the Embassy of Cambodia in China,at the 2024 China-ASEAN Traditional ...“Traditional Chinese medicine(TCM)is very popular in Cambodia because it can treat a variety of diseases,”said Nhek Soparama,ministercounselor of the Embassy of Cambodia in China,at the 2024 China-ASEAN Traditional Chinese Medicine Industry Exchange and Promotion Conference in Taiyuan,Shanxi Province,on July 26.“Over the past two years,more than 20,000 Cambodians have received TCM treatment.”展开更多
Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset conta...Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People’s Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.1551.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors’prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).展开更多
文摘当前“中医”主要有“Traditional Chinese Medicine(TCM)”与“Chinese Medicine(CM)”两种译法。国际上对这两种译法的接受度和使用率较高,但“TCM”与“CM”有着各自不同的特点和语境。在不同的语境中,选择合适的翻译形式对于准确传达“中医”概念至关重要。本文分析了“中医”的内涵及当前国内外对其的英译情况,并在此基础上提出了关于“中医”英译的思考。
文摘[Objectives]To investigate optimal storage methods and shelf life determination for several representative bagged traditional Chinese medicine(TCM)decoctions under centralized preparation conditions in intelligent TCM pharmacies.[Methods]First,the nourishing formula was prepared and packaged in bags.Under the three storage conditions of 37℃before cold storage(including full high temperature),cold storage before 37℃(including full cold storage),and alternating 37℃and cold storage,the 30 d cycle was investigated to determine the total microbial colony count,so as to determine a reasonable storage method of traditional Chinese medicine decoction.Secondly,five representative prescriptions were prepared and packaged in bags,stored under 37℃,room temperature and cold conditions.The investigation period was 30 d.The pH,total bacterial count and soluble solid content were measured,and the changes of each index were analyzed to obtain the shelf life of the bagged Chinese medicine decoction.[Results]First,the nourishing formula was investigated for 30 d.The microbial results of refrigeration after 1-2 d of 37℃,complete refrigeration and 37℃cooling with an alternate interval of 2 d or less met the requirements,while the microbial results of refrigeration after 3 d or above of 37℃,refrigeration after 1-5 d and then 37℃,complete 37℃,37℃and cooling with an alternate interval of 3 d or above excessive microorganism.Second,under the condition of 37℃storage,the pH of the five prescriptions decreased significantly,the total microbial colonies exceeded the standard,and the solid content decreased significantly.However,under the condition of room temperature and cold storage,the pH,total microbial colonies,and solid content of the five prescriptions remained stable.[Conclusions]The first is to refrigerate the decoction after 1-2 d of 37℃,completely refrigerate it,and refrigerate the decoction with an alternate interval of 2 d or less at 37℃.The shelf life can last for 30 d.Several storage conditions are conducive to guiding the development of the storage mode of the decoction.Second,under the conditions of cold storage,all the indexes were stable,and the shelf life of the five representative formulas was 30 d.
基金Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX24_2145).
文摘Objective To improve the accuracy and professionalism of question-answering(QA)model in traditional Chinese medicine(TCM)lung cancer by integrating large language models with structured knowledge graphs using the knowledge graph(KG)to text-enhanced retrievalaugmented generation(KG2TRAG)method.Methods The TCM lung cancer model(TCMLCM)was constructed by fine-tuning Chat-GLM2-6B on the specialized datasets Tianchi TCM,HuangDi,and ShenNong-TCM-Dataset,as well as a TCM lung cancer KG.The KG2TRAG method was applied to enhance the knowledge retrieval,which can convert KG triples into natural language text via ChatGPT-aided linearization,leveraging large language models(LLMs)for context-aware reasoning.For a comprehensive comparison,MedicalGPT,HuatuoGPT,and BenTsao were selected as the baseline models.Performance was evaluated using bilingual evaluation understudy(BLEU),recall-oriented understudy for gisting evaluation(ROUGE),accuracy,and the domain-specific TCM-LCEval metrics,with validation from TCM oncology experts assessing answer accuracy,professionalism,and usability.Results The TCMLCM model achieved the optimal performance across all metrics,including a BLEU score of 32.15%,ROUGE-L of 59.08%,and an accuracy rate of 79.68%.Notably,in the TCM-LCEval assessment specific to the field of TCM,its performance was 3%−12%higher than that of the baseline model.Expert evaluations highlighted superior performance in accuracy and professionalism.Conclusion TCMLCM can provide an innovative solution for TCM lung cancer QA,demonstrating the feasibility of integrating structured KGs with LLMs.This work advances intelligent TCM healthcare tools and lays a foundation for future AI-driven applications in traditional medicine.
文摘中压设备是列车上较大功率的设备,这些设备分散在列车各系统中,由辅助供电系统集中为其供电。由于电感效应,中压设备启动时的峰值电流会对辅助供电系统的安全性和稳定性产生不利影响。为保证列车辅助供电系统稳定、可靠运行,需要有效地控制中压设备启动时的峰值电流。基于列车控制与管理系统(TCMS,Train Control and Management System)的控制逻辑,研究列车上电自检阶段中压设备错时顺序启动控制方法,列车运行中空调压缩机错时启动控制方法,以及辅助供电系统故障工况下中压设备减载启动控制方法,避免中压负载峰值电流叠加对辅助供电系统造成的不良影响,确保在故障情况下有足够的辅助供电能力。通过实验室仿真测试和运营线上实车试验,初步验证了在辅助供电备用率和启动峰值电流的限制约束下,列车中压设备启动控制方法的有效性。
文摘本文全面解读了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine,SCORE-TCM)。SCORE-TCM是结合定性与定量评价,全面评估中医药团体标准在制定主体、文本编写、技术内容、推广应用和实施效益等几方面特征的综合评价工具。文中详述了SCORE-TCM的构建目的、定义和构建过程,解释了评价指标体系中的各项指标,并对每项指标的评价材料进行介绍。本文旨在帮助中医药团体标准的制定者、第三方评价机构和其他相关方更好地理解SCORE-TCM各评价条目的含义,更有效地运用于中医药团体标准的自评价或第三方评价,SCORE-TCM将为《中医药团体标准管理办法》的贯彻实施,以及中医药团体标准的高质量发展提供技术支持。
文摘目前,各社会团体积极参与中医药标准的制定和发布,特别是“十四五”以来,中医药团体标准化工作更是迎来了提质增效的关键阶段。深入评估社会团体发布的中医药标准质量,是推进中医药团体标准工作的关键环节和重点任务。前期已研制并形成了中医药团体标准评价体系(System of Consortium Standards Rating and Evaluation of Traditional Chinese Medicine, SCORETCM)。在上述背景下,本研究通过专家共识法,设计了一套基于SCORE-TCM的中医药团体标准抽样评价方案,应用场景为对于特定社会团体发布的标准,或各团体发布的特定技术类别的标准进行快速评估。该方案涵盖了标准抽样、材料收集、标准评价、结果解读的完整流程,为中医药团体标准的抽样评价工作提供了参考方案。
文摘Chen Shigong,styled name Yuren,was also known by the literary name Ruoxu.Coming from Donghaichongchuan(present Nantong City,Jiangsu Province)he was a famous traditional Chinese medicine(TCM)specialist of external medicine of the Ming Dynasty(1368-1644).The Orthodox Lineage of External Medicine(Wai Ke Zheng Zong)written by him has been valued as the founder of the TCM Orthodox School of External Medicine.
基金financed by the grant from Beijing Social Science(No. 18LSB002)。
文摘1 Introduction.Chinese medicine has a long and rich history,dating back to the classics of the Qin and Han dynasties and extending to the integration of Chinese and Western medicine in the modern era.The vast amount of literature and scholarly works in this field makes it essential to thoroughly study the history of traditional Chinese medicine(TCM)in order to understand its development path throughout the ages and boost innovation based on tradition.This is why the sages emphasized the importance of“classifying the works into different schools and tracing back to their origins”(辨章学术,考镜源流).
文摘The interview was conducted on November 20th,2022 by Ioannis Solos and Charles Buck.Ted Kaptchuk(泰开阳)is a Professor of Medicine and a Professor of Global Health&Social Medicine at Harvard Medical School.In 1975,he graduated from the Macao Institute of Chinese Medicine,Macao,China.After returning to the West,Ted taught Chinese medicine throughout the States,Europe,Latin America,and Australia.Ted’s book,The Web that Has No Weaver:Understanding Chinese Medicine is a groundbreaking explanation of East Asian medicine that continues to shape the discourse of the Chinese medicine profession in the West and has been translated into 13 languages.In 1990,Ted was recruited in Harvard Medical School to help research Chinese medicine.After encountering high placebo responses in multiple acupuncture clinical trials,Ted decided to switch his career to primarily studying placebo.He has published over 300 peer-reviewed articles.He has been awarded the Lifetime Achievement Award from the Society of Acupuncture Research(2015),the Lifetime Achievement Award from the Society for Interdisciplinary Placebo Studies(2021),and the William Silen Lifetime Achievement Award in Mentoring from Harvard Medical School(2022).
文摘Sichuan province is home to rich traditional Chinese medicine(TCM)resources.Recent years have seen unremitting efforts of TCM standardization in the province.By analyzing the measures and existing problems,this paper provides recommendations to boost TCM development through standardization.
文摘A Spanish businessman becomes a dedicated advocate of traditional Chinese medicine after witnessing its effects in treating his terminally ill young son.MY relationship with traditional Chinese medicine(TCM)-and with China-began in 1988,when I traveled to Beijing with my two-year-old son Joan.He was suffering from an extremely rare disease called leukoencephalopathy,in which the brain is affected,and we wanted to explore treatment possibilities.
基金supported by Fundamental Research Funds from the Beijing University of Chinese Medicine(2023-JYB-KYPT-13)the Developmental Fund of Beijing University of Chinese Medicine(2020-ZXFZJJ-083).
文摘Objective:To explore the feasibility of remotely obtaining complex information on traditional Chinese medicine(TCM)pulse conditions through voice signals.Methods: We used multi-label pulse conditions as the entry point and modeled and analyzed TCM pulse diagnosis by combining voice analysis and machine learning.Audio features were extracted from voice recordings in the TCM pulse condition dataset.The obtained features were combined with information from tongue and facial diagnoses.A multi-label pulse condition voice classification DNN model was built using 10-fold cross-validation,and the modeling methods were validated using publicly available datasets.Results: The analysis showed that the proposed method achieved an accuracy of 92.59%on the public dataset.The accuracies of the three single-label pulse manifestation models in the test set were 94.27%,96.35%,and 95.39%.The absolute accuracy of the multi-label model was 92.74%.Conclusion: Voice data analysis may serve as a remote adjunct to the TCM diagnostic method for pulse condition assessment.
基金Supported by Special Research Project of Science and Technology Bureau of Nanchong City,Sichuan Province"Effects of TCM Nursing Based on Syndrome Differentiation on Pulmonary Function and Quality of Life in Patients with Acute Exacerbation of COPD" (22YYJCYJ0057).
文摘This paper mainly analyzes the application status of TCM rehabilitation in chronic obstructive pulmonary disease(COPD),hoping to provide support and help for clinical staff through this study,and promote the further development of COPD rehabilitation program.
文摘“Traditional Chinese medicine(TCM)is very popular in Cambodia because it can treat a variety of diseases,”said Nhek Soparama,ministercounselor of the Embassy of Cambodia in China,at the 2024 China-ASEAN Traditional Chinese Medicine Industry Exchange and Promotion Conference in Taiyuan,Shanxi Province,on July 26.“Over the past two years,more than 20,000 Cambodians have received TCM treatment.”
基金National Key Research and Development Program(2023YFC3502604)National Natural Science Foundation of China(U23B2062 and 82374302).
文摘Objective To develop and evaluate a fine-tuned large language model(LLM)for traditional Chinese medicine(TCM)prescription recommendation named TCMLLM-PR.Methods First,we constructed an instruction-tuning dataset containing 68654 samples(ap-proximately 10 million tokens)by integrating data from eight sources,including four TCM textbooks,Pharmacopoeia of the People’s Republic of China 2020(CHP),Chinese Medicine Clinical Cases(CMCC),and hospital clinical records covering lung disease,liver disease,stroke,diabetes,and splenic-stomach disease.Then,we trained TCMLLM-PR using Chat-GLM-6B with P-Tuning v2 technology.The evaluation consisted of three aspects:(i)compari-son with traditional prescription recommendation models(PTM,TCMPR,and PresRecST);(ii)comparison with TCM-specific LLMs(ShenNong,Huatuo,and HuatuoGPT)and general-domain ChatGPT;(iii)assessment of model migration capability across different disease datasets.We employed precision,recall,and F1 score as evaluation metrics.Results The experiments showed that TCMLLM-PR significantly outperformed baseline models on TCM textbooks and CHP datasets,with F1@10 improvements of 31.80%and 59.48%,respectively.In cross-dataset validation,the model performed best when migrating from TCM textbooks to liver disease dataset,achieving an F1@10 of 0.1551.Analysis of real-world cases demonstrated that TCMLLM-PR's prescription recommendations most closely matched actual doctors’prescriptions.Conclusion This study integrated LLMs into TCM prescription recommendations,leverag-ing a tailored instruction-tuning dataset and developing TCMLLM-PR.This study will pub-licly release the best model parameters of TCMLLM-PR to promote the development of the decision-making process in TCM practices(https://github.com/2020MEAI/TCMLLM).
