分析2010-2018年Web of Science核心合集数据库收录的215篇奥运遗产(Olympic Legacy)研究文献,对该研究领域的前沿与热点进行分析。结果显示:奥运遗产的概念和内涵不断延伸,研究范围不断扩充;冬奥会是奥运遗产的研究热点之一,效应关系...分析2010-2018年Web of Science核心合集数据库收录的215篇奥运遗产(Olympic Legacy)研究文献,对该研究领域的前沿与热点进行分析。结果显示:奥运遗产的概念和内涵不断延伸,研究范围不断扩充;冬奥会是奥运遗产的研究热点之一,效应关系得到重视;奥运遗产与其它学科研究相互渗透,研究体系逐步完善。通过对奥运遗产研究前沿和研究热点的分析,能够为我国2022年北京冬奥会奥运遗产的规划建立理论框架,为管理实施提供借鉴办法。展开更多
OBJECTIVE:To research the subtyping and treatment of depression by leveraging studying on extensive Traditional Chinese Medicine(TCM)experiences through artificial intelligence(AI).METHODS:We retrieved depression-rela...OBJECTIVE:To research the subtyping and treatment of depression by leveraging studying on extensive Traditional Chinese Medicine(TCM)experiences through artificial intelligence(AI).METHODS:We retrieved depression-related literature published from inception to April 2023 from databases.From these sources,we extracted symptoms,signs,and prescriptions associated with depression.By utilizing the tree number system in the medical subject headings(MeSH),we established a hierarchical relationship matrix for symptoms/signs,as well as depression sample fingerprints.Using an unsupervised clustering algorithm,we constructed a machine learning model for classifying depression patients.Furthermore,we conducted an analysis of medication rules for each depression cluster.RESULTS:We created a My Structured Query Language(MySQL)database containing datasets of depression-symptoms/signs and depression-herbs,through mining 3522 published clinical literatures on TCM diagnosis and treatment for depression.We established hierarchical relationships among symptoms/signs of depression patients.Our unsupervised clustering analysis revealed that depression patients could be classified into 9 subtypes,with each subtype corresponding to a specific treatment prescription.Notably,one of the depression subtypes was consistently treated by Qi-tonifying formulas and herbs.This finding was further supported by data from Qi-deficiency patients,as there was a high similarity in the top symptoms/signs shared between this subtype and Qi-deficiency diagnosed by TCM.CONCLUSIONS:This study identified the subtypes and TCM treatment of depression by using machine learning and text mining.展开更多
文摘分析2010-2018年Web of Science核心合集数据库收录的215篇奥运遗产(Olympic Legacy)研究文献,对该研究领域的前沿与热点进行分析。结果显示:奥运遗产的概念和内涵不断延伸,研究范围不断扩充;冬奥会是奥运遗产的研究热点之一,效应关系得到重视;奥运遗产与其它学科研究相互渗透,研究体系逐步完善。通过对奥运遗产研究前沿和研究热点的分析,能够为我国2022年北京冬奥会奥运遗产的规划建立理论框架,为管理实施提供借鉴办法。
基金Supported by the National Key Research and Development Plan:Regulatory Pathways and Mechanisms of Conception and Governor Vessels Surface Stimulation in the Treatment of “Uterus and Brain” Disorders (No. 2022YFC3500405)Taishan Scholar Youth Project of Shandong Province (No. tsqn202306188)+3 种基金the National Natural Science Foundation of China:Epigenetic Regulation of Vascular Neural Unit Function by Vascular Endothelial Histone Deacetylase:a New Antidepressant Application and Mechanism of Huangqi Guizhi Wuwu Decoction (No. 82274128)the National Natural Science Foundation of China:Study on the Anti-depression Mechanism of Electroacupuncture based on the Regulation of Biological Clock Gene in Prefrontal Cortex (No. 81973948)Joint Fund of Shandong Provincial Natural Science Foundation:High-Throughput Screening and Key Target Validation of Traditional Chinese Medicine Blood-Activating and Stasis-Resolving Components using a Vascular Microenvironment Simulation Chip (No. ZR2021LZY020)Student Research Training Program of Shandong University of Traditional Chinese Medicine:the Therapeutic Mechanism of Huangqi Guizhi Wuwu Decoction on Chronic Unpredictable Mild Stress Model Mice Based on the Endothelial Nitric Oxide Synthase-Nitric oxide Pathway Research of Vascular Endothelial Eells (No. 202210441008)
文摘OBJECTIVE:To research the subtyping and treatment of depression by leveraging studying on extensive Traditional Chinese Medicine(TCM)experiences through artificial intelligence(AI).METHODS:We retrieved depression-related literature published from inception to April 2023 from databases.From these sources,we extracted symptoms,signs,and prescriptions associated with depression.By utilizing the tree number system in the medical subject headings(MeSH),we established a hierarchical relationship matrix for symptoms/signs,as well as depression sample fingerprints.Using an unsupervised clustering algorithm,we constructed a machine learning model for classifying depression patients.Furthermore,we conducted an analysis of medication rules for each depression cluster.RESULTS:We created a My Structured Query Language(MySQL)database containing datasets of depression-symptoms/signs and depression-herbs,through mining 3522 published clinical literatures on TCM diagnosis and treatment for depression.We established hierarchical relationships among symptoms/signs of depression patients.Our unsupervised clustering analysis revealed that depression patients could be classified into 9 subtypes,with each subtype corresponding to a specific treatment prescription.Notably,one of the depression subtypes was consistently treated by Qi-tonifying formulas and herbs.This finding was further supported by data from Qi-deficiency patients,as there was a high similarity in the top symptoms/signs shared between this subtype and Qi-deficiency diagnosed by TCM.CONCLUSIONS:This study identified the subtypes and TCM treatment of depression by using machine learning and text mining.
