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2. Hubei Provincial Hospital of Traditional Chinese Medicine, Wuhan 430060, China;
3. College of Information Engineering, Hubei University of Chinese Medicine, Wuhan 430065, China;
4. Jingzhou Hospital of Traditional Chinese Medicine Affiliated to Hubei University of Chinese Medicine, Jingzhou 434000, China, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1242141938246299700, articleId=1242141932516880400, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=基于大数据知识工程的真实世界中医临床研究思路与实践, columnId=1242141097774883713, journalTitle=科技导报, columnName=专题:中医临床研究的范式与应用, runingTitle=null, highlight=null, articleAbstract=通过回顾中医临床大数据知识工程学的起源及其40年发展历程,厘清了各研究阶段的重大事件和研究成果,阐述了基于病案的真实世界中医临床研究思路与方法,强调了从数据驱动向数据与知识双驱动模式转换,推动真实世界中医临床研究模式变革与创新的重要性,明确了模式变革与创新的基础是将中医临床病例数据库知识属性化重构,使隐性知识显性化,实现知识的完整表达,构建中医临床病例知识库。以病例数据知识化、知识编码及知识图谱为示例,重点展示了中医临床大数据知识工程的关键技术和核心环节,充分证实了大数据知识工程是真实世界中医临床研究的必由之路。在国家中医药高质量发展战略指引下,未来应培育中医临床研究新质生产力,形成具有新发展理念的中医临床研究新业态为目标,构建大数据知识工程技术平台和中医临床知识仓库,为开展中医临床领域大模型研究提供技术平台和知识资源,促进中医临床智能化和中医药事业高质量发展。, authors=孙婷1, 张盼1, 宋淑洁1, 李君1, 李晓东2, 沈绍武3, 肖勇3, 田双桂3, 黄缨4, 毛树松2, authorsList=孙婷, 张盼, 宋淑洁, 李君, 李晓东, 沈绍武, 肖勇, 田双桂, 黄缨, 毛树松, authorCompany=1. 湖北中医药大学中医临床学院, 武汉 430065;
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3. 湖北中医药大学信息工程学院, 武汉 430065;
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基于大数据知识工程的真实世界中医临床研究思路与实践
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科技导报 | 专题:中医临床研究的范式与应用 2024, 42(21): 55-65
基于大数据知识工程的真实世界中医临床研究思路与实践
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孙婷1, 张盼1, 宋淑洁1, 李君1, 李晓东2, 沈绍武3, 肖勇3, 田双桂3, 黄缨4, 毛树松2
作者信息
    1. 湖北中医药大学中医临床学院, 武汉 430065;
    2. 湖北省中医院, 武汉 430060;
    3. 湖北中医药大学信息工程学院, 武汉 430065;
    4. 湖北中医药大学附属荆州市中医医院, 荆州 434000
Thinking and practice of real world clinical study of traditional Chinese medicine based on big data knowledge engineering
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出版时间: 2024-11-13 doi: 10.3981/j.issn.1000-7857.2024.05.00468
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通过回顾中医临床大数据知识工程学的起源及其40年发展历程,厘清了各研究阶段的重大事件和研究成果,阐述了基于病案的真实世界中医临床研究思路与方法,强调了从数据驱动向数据与知识双驱动模式转换,推动真实世界中医临床研究模式变革与创新的重要性,明确了模式变革与创新的基础是将中医临床病例数据库知识属性化重构,使隐性知识显性化,实现知识的完整表达,构建中医临床病例知识库。以病例数据知识化、知识编码及知识图谱为示例,重点展示了中医临床大数据知识工程的关键技术和核心环节,充分证实了大数据知识工程是真实世界中医临床研究的必由之路。在国家中医药高质量发展战略指引下,未来应培育中医临床研究新质生产力,形成具有新发展理念的中医临床研究新业态为目标,构建大数据知识工程技术平台和中医临床知识仓库,为开展中医临床领域大模型研究提供技术平台和知识资源,促进中医临床智能化和中医药事业高质量发展。
大数据知识工程  /  真实世界中医临床研究  /  数据知识化  /  知识编码
Through a systematic review of the origin and 40 years of development of Traditional Chinese Medicine(TCM) big data knowledge engineering, we clariffy the major events and research achievements in each stage of the research, expound the ideas and methods of real world TCM clinical study based on medical records, emphasize the importance of transforming from data driven mode to data and knowledge driven mode to promote the innovation of the real world TCM clinical study model, and argue that the basis of model transformation and innovation is to reconstruct the knowledge attributes of TCM clinical case data base, make tacit knowledge explicit, realize full expression of knowledge, and build a TCM clinical case knowledge base.Taking case data knowledge, knowledge coding and knowledge mapping as examples, we highlight the key technologies and core links of TCM big data knowledge engineering, and fully confirm that big data knowledge engineering is the only way for real world TCM clinical study.Under the guidance of the national high-quality development strategy of TCM, with the goal of cultivating new quality productivity and forming a new business form of clinical research of TCM with new development concepts, we will build a big data knowledge engineering technology platform and a warehouse of TCM clinical knowledge, provide a technical platform and knowledge resources for carrying out large-scale model research in the field of TCM, and promote the clinical intelligence and high-quality development of TCM.
big data knowledge engineering  /  real world clinical research of traditional Chinese medicine  /  data knowledgeization  /  knowledge encoding
孙婷, 张盼, 宋淑洁, 李君, 李晓东, 沈绍武, 肖勇, 田双桂, 黄缨, 毛树松. 基于大数据知识工程的真实世界中医临床研究思路与实践. 科技导报, 2024 , 42 (21) : 55 -65 . DOI: 10.3981/j.issn.1000-7857.2024.05.00468
SUN Ting, ZHANG Pan, SONG Shujie, LI Jun, LI Xiaodong, SHEN Shaowu, XIAO Yong, TIAN Shuanggui, HUANG Ying, MAO Shusong. Thinking and practice of real world clinical study of traditional Chinese medicine based on big data knowledge engineering[J]. Science & Technology Review, 2024 , 42 (21) : 55 -65 . DOI: 10.3981/j.issn.1000-7857.2024.05.00468
2024年第42卷第21期
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doi: 10.3981/j.issn.1000-7857.2024.05.00468
  • 接收时间:2024-04-24
  • 首发时间:2024-12-14
  • 出版时间:2024-11-13
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  • 收稿日期:2024-04-24
  • 修回日期:2024-08-17
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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