Traditional Chinese Medicine Informatics cover

Traditional Chinese Medicine Informatics

Rating 3.6
Word count
96K words
Chapters
35
ISBN
9787513295376

Tags

Summary

The book consists of six chapters. Chapter 1 focuses on the basic concepts of TCM informatics, its development history, and its research content and methods. Chapter 2 focuses on methods and technologies for acquiring and identifying TCM knowledge through informatization, including representation methods for TCM information, acquisition methods for TCM information, and objective acquisition and identification methods for TCM diagnostic information. Chapter 3 focuses on methods and technologies for TCM data analysis and mining, including the basic concepts of big data, the basic concepts and common algorithms of data mining, commonly used tools and platforms for big data analysis and mining, and the application of big data analysis and mining technologies in fields such as TCM clinical research and the properties of Chinese materia medica and formula compatibility. Chapter 4 focuses on the application of artificial intelligence technologies in the TCM field, including the basic concepts of artificial intelligence, the basic principles of machine learning and deep learning, and the basic principles of expert systems and their application in TCM diagnosis. Chapter 5 focuses on methods and technologies for the analysis and processing of TCM library and information science, including the analysis and utilization of TCM literature resources, research methods in TCM library and information science, statistical analysis methods for TCM library and information, and bibliometric methods for TCM literature. Chapter 6 focuses on the informatized inheritance and promotion of TCM culture, making full use of modern informatization means to inherit and promote the treasures of traditional TCM culture, including a historical review of TCM culture, the application of modern convergent media technologies in the inheritance and promotion of TCM culture, and the informatized collation and application of ancient TCM books.

Editor's review

This is a systematically complete disciplinary textbook that lays out TCM informatics along a clear line from conceptual definition to technical application. The six chapters progress layer by layer: first establishing concepts and development trajectories, then discussing information acquisition and representation, followed by data analysis and mining and artificial intelligence applications, and finally arriving at library and information methods and cultural inheritance. Its value lies in not talking about technology in the abstract, but anchoring methods in concrete scenarios such as TCM clinical research, the properties of Chinese materia medica and formula compatibility, and the collation of ancient books, connecting informatization means with real problems in TCM. As a textbook, it is well structured and broad in coverage, suitable for classroom teaching and self-study alike. For students at TCM institutions, it is an introductory map into an interdisciplinary field; for practitioners, it provides a framework for sorting out the relationship between technical tools and professional scenarios. It is best read chapter by chapter, with emphasis on understanding the correspondence between methods and scenarios.

Who it's for

A good fit for

  • Undergraduate or graduate students at TCM institutions, as a textbook or reference book for informatics courses
  • Technical personnel engaged in TCM informatization and data mining-related work
  • Researchers who need to understand the application of artificial intelligence in the TCM field
  • Learners in the direction of TCM library and information science and document collation

Not a good fit for

  • Readers of purely technical manuals seeking specific software operation steps
  • Readers completely unfamiliar with TCM background knowledge who only want to learn about information technology
  • TCM physicians seeking clinical diagnosis and treatment plans

Reading tips

  1. Read in chapter order, first establishing a conceptual framework and then moving into the technical methods section
  2. After finishing each chapter, use a table to sort out the correspondence between that chapter's methods and TCM scenarios
  3. Select key chapters according to one's own professional direction; for example, clinical researchers should focus on Chapters 3 and 4
  4. When reading technical chapters, consult relevant tools and platforms at the same time to deepen understanding of how methods are implemented

About the publisher

China Press of Traditional Chinese Medicine focuses on publishing books in traditional Chinese medicine, covering Chinese medical classics, clinical medicine, acupuncture and tuina, materia medica and formulae, and medical history and literature; its catalogue includes 3,277 titles. Representative books include Xiao Er Yao Zheng Zhi Jue, Shang Han Lun, Yi Xue Zhong Zhong Can Xi Lu, Zhen Jiu Da Cheng, Yi Zong Jin Jian, and Guo Aichun's Annotated Huangdi Neijing Suwen (Second Edition). These works involve writings by historical physicians such as Qian Yi, Zhang Zhongjing, Wang Shuhe, and Zhang Xichun, as well as documentary studies compiled by contemporary authors including Zhao Xin, Zhen Xueyan, Zhang Yongtai, and Wang Xiangang. In terms of publishing characteristics, the press emphasizes collation and annotation of original Chinese medical classics and the systematic presentation of famous physicians' works, balancing the transmission of ancient editions with reference for clinical application. Public information is limited, and no other publishing fields are covered here.

Contents

  1. 版权信息
  2. 编纂委员会
  3. 《中医药信息学》编委会
  4. 前言
  5. 编写说明
  6. 第一章 中医药信息学概述
  7. 第一节 中医药信息学的发展历程
  8. 第二节 中医药信息学的概念和知识框架
  9. 第三节 中医药信息学方法论
  10. 第四节 中医药信息学原理
  11. 第二章 中医药知识的信息化获取和识别
  12. 第一节 中医药知识的信息化表征
  13. 第二节 中医药知识的信息化获取方法
  14. 第三节 中医诊断信息的获取与识别
  15. 第三章 大数据分析与挖掘技术在中医药领域的应用
  16. 第一节 大数据分析及其挖掘技术概述
  17. 第二节 中医药大数据分析与挖掘软硬件环境构建
  18. 第三节 大数据分析与挖掘技术在中医临床科研领域的应用
  19. 第四节 大数据分析与挖掘技术在中药药性与方剂配伍领域的应用
  20. 第四章 人工智能技术在中医药领域的应用
  21. 第一节 人工智能技术的发展
  22. 第二节 机器学习与深度学习原理
  23. 第三节 专家系统
  24. 第四节 智能诊断专家系统
  25. 第五节 知识工程技术及其在中医药领域的应用
  26. 第五章 中医药图书情报分析与处理
  27. 第一节 中医药文献信息资源分析与利用
  28. 第二节 中医药图书情报研究方法
  29. 第三节 中医药图书情报信息统计分析方法
  30. 第四节 中医药文献计量学方法
  31. 第六章 中医药文化信息化传承与弘扬
  32. 第一节 中医药文化历史回顾
  33. 第二节 融媒体技术在中医药文化传承与弘扬领域的应用
  34. 第三节 中医古籍的信息化整理与应用
  35. 主要参考文献

FAQ

Is this book suitable as a reference book for graduate entrance examinations?
It can be used as a reference textbook for graduate entrance examinations in directions related to TCM informatics. The six chapters cover the basic concepts of the discipline, information acquisition, data mining, artificial intelligence applications, library and information methods, and cultural inheritance, and the system is relatively complete. However, for exam preparation, it is still necessary to combine the designated bibliography and examination syllabus of the target institution; this book is best used for framework organization and knowledge supplementation.
Can readers without a programming foundation understand the data mining chapter?
Chapter 3 focuses on introducing the basic concepts of big data and data mining, common algorithms, and tool platforms; it is not a hands-on programming manual. Readers without a programming foundation can understand the principles of the methods and the application scenarios, but if they want to practice hands-on, they need to learn the relevant tools separately. It is recommended to first grasp the ideas of the algorithms and then supplement technical operation knowledge as needed.
Does the artificial intelligence section in the book go into depth?
Chapter 4 introduces the basic concepts of artificial intelligence, the principles of machine learning and deep learning, and expert systems and their application in TCM diagnosis. It is an introductory explanation that focuses on building a cognitive framework rather than in-depth derivation. It is suitable for understanding what the technology can do and where it can be used in TCM; for in-depth study, specialized textbooks should be consulted.
Can readers without a TCM background read it?
They can read it, but they need to supplement basic TCM knowledge. The technical methods section of the book is relatively friendly to readers with an informatics background, while content involving TCM diagnosis, the properties of Chinese materia medica and formulas, and the collation of ancient books requires some professional background. Readers without a TCM background are advised to first understand basic TCM theory and then focus on reading the technical methods chapters.

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About the author

苏伟 Author

Public information about Su Wei is limited; all that is known is that three of the author's works are included in this database, all in the field of medicine. These writings span several levels: a technical work on public health control, Technical Practice for Improving the Detection Level of Drug-Resistant Pulmonary Tuberculosis; a compilation of clinical experience from the Shi-style traumatology tradition, Essentials of Shi Jianyü's Clinical Experience in Shi-Style Traumatology; and participation in compiling Traditional Chinese Medicine Informatics, indicating involvement in this interdisciplinary field as well. Judging from these subjects, Su Wei's interests range across the summary of clinical experience, disease prevention and control practice, and disciplinary theory building. The writing tends to be practical, emphasizing the operability of experience and the organization and preservation of materials, and is suitable for reference by clinicians, public health workers, and researchers in traditional Chinese medicine informatics.

邹元君 Author

Zou Yuanjun is an author about whom limited public information is available. What can be confirmed is that one work appears under this name, Zhongyiyao Xinxixue (Information Science of Traditional Chinese Medicine), commonly classified under medicine. The available information does not establish the author's nationality, dates of birth and death, or English name, nor does it allow a full reconstruction of the author's academic background or writing career. Judging from the title, the book lies at the intersection of traditional Chinese medicine and information science, addressing topics such as information processing, knowledge organization, and data use in the field of traditional Chinese medicine; it is a professional medical publication. Works of this kind are generally aimed at researchers in traditional Chinese medicine, clinical practitioners, and readers involved in information management, and tend to emphasize conceptual clarification and methodological introduction while stressing the practical value of interdisciplinary work. As only this one title is held in the collection, the author's writing style and actual influence cannot yet be assessed in detail, and readers may form their own judgment from the content of the book.

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