Traditional Chinese Medicine Syndrome Informatics

Name: Traditional Chinese Medicine Syndrome Informatics
ISBN: 9787513244367

向楠 / 毛树松China Press of Traditional Chinese Medicine · ChinaDec 2018

Rating 3.5

Word count: 242K words
Chapters: 24
ISBN: 9787513244367

Summary

TCM Syndrome Informatics is a new interdisciplinary field that has developed on this basis. Guided by the basic theories of traditional Chinese medicine and introducing research methods from standardization science and information science, the book is divided into three sections and fifteen chapters. It systematically covers an overview of TCM syndromes, modern research on TCM syndromes, the clinical syndrome differentiation system and methodology, TCM syndrome informatics, standardization techniques and methods, clinical information collection techniques and methods, clinical database techniques and methods, knowledge discovery and data mining techniques and methods, the application of data mining in syndrome informatics research, research on the standardization and quantification of the four diagnostic methods, classification and codes of TCM information, research on syndrome distribution patterns, research on syndrome evolution patterns, research on syndrome regulation patterns, and clinical efficacy evaluation. The book is intended for clinicians and researchers in TCM and integrated Chinese-Western medicine, as well as TCM information technology personnel.

Editor's review

This book connects TCM pattern research with the methods of standardization science and information science. Its three parts and fifteen chapters move from an overview of pattern study and modern research to information collection, databases, knowledge discovery, and data mining, then to the standardization and quantification of four-diagnosis information, classification codes, patterns of pattern distribution and evolution, regulation rules, and efficacy evaluation, forming a fairly complete methodological chain. Its strength is that it does not stop at concepts but discusses standardization techniques, clinical information collection, and data mining applications within one framework, helping readers understand the flow of pattern research from "collection" to "analysis" to "evaluation." For clinical researchers and TCM information technology staff, this is more a methodological reference than a purely theoretical work, suitable for consultation in project design, data governance, and pattern-rule research. Readers are advised to grasp the foundations in the information collection and standardization sections first, then move to data mining and efficacy evaluation, so as not to be led astray by technical terminology.

Who it's for

A good fit for

Clinical researchers in Chinese medicine and integrative medicine, for reference in designing research projects on syndrome patterns
Chinese medicine IT staff who need to understand methods for syndrome data collection and standardization
Graduate students at Chinese medicine institutions, for learning interdisciplinary research methods in syndrome informatics
Hospital research administrators concerned with clinical databases and efficacy evaluation approaches

Not a good fit for

Purely clinical physicians who only want to look up formulas for treatment—this book leans toward methodology and research frameworks
Beginners without statistics or IT basics—the technical chapters set a relatively high bar
General readers seeking popular science or wellness knowledge about Chinese medicine syndromes

Reading tips

Read the overview of syndrome theory and the general introduction to informatics first to grasp the conceptual framework before entering technical chapters
Project researchers can focus on the three parts—information collection, databases, and data mining—comparing them with their own research designs as they read
The sections on standardization of the four diagnostic methods and classification codes work well as a reference tool; they need not be read cover to cover
When reading the efficacy evaluation chapter, compare methods with published syndrome research papers

About the publisher

China Press of Traditional Chinese Medicine China · Founded in 1989

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.

版权信息
《中医症候信息学》编委会
序
前言
基础篇
第一章绪论
第二章中医证候学概述
第三章现代中医证候学研究
第四章中医临床辨证体系与方法学研究
第五章中医证候信息学概述
技术篇
第六章标准化技术与方法
第七章中医临床信息采集技术与方法
第八章临床数据库技术与方法
第九章知识发现和数据挖掘技术与方法
第十章数据挖掘在证候信息学研究中的应用
应用篇
第十一章中医四诊信息规范化与量化应用研究
第十二章中医药信息分类与代码
第十三章证候分布规律研究
第十四章证候演变规律研究
第十五章证候调控规律研究
第十六章临床疗效评价研究
主要参考文献

FAQ

What prior knowledge is needed to read this book smoothly?

It is best to have basic knowledge of Chinese medicine theory and diagnostics, as well as some familiarity with clinical epidemiology, statistics, or database technology. The book covers standardization techniques, data mining, and efficacy evaluation; without any information science background, the technical chapters will be challenging, so it helps to pick up some related concepts first.

Can the data mining methods in the book be directly applied to my own project?

They can serve as a methodological framework, but should not be applied mechanically. Syndrome research varies greatly in data sources, variable definitions, and quality control; the book offers technical pathways and approaches. Readers should account for their own project's data characteristics, first standardizing information collection, then choosing suitable data mining methods, and collaborating with statistics or informatics specialists when necessary.

What practical use does this book have for clinicians?

Clinicians can learn how syndrome information is standardized, collected, classified, and evaluated, which helps turn clinical observations into analyzable data when participating in research projects. Even without doing research, the sections on standardization of four diagnostic information and syndrome evolution patterns can help organize pattern-differentiation thinking, though the book does not focus on specific formulas or treatments.

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About the author

向楠 Author

Xiang Nan: public information is limited, and at present only the Chinese name and two medical works are known. The first is Leijing Zhengzhi Bencao, whose title indicates a compilation of materia medica organized around syndrome-based treatment in the lineage of the Leijing, a work combining traditional materia medica with clinical pattern differentiation. The second is Zhongyi Zhenghou Xinxixue (Traditional Chinese Medicine Syndrome Informatics), whose title points to an interdisciplinary direction linking TCM syndromes with informatics. The two works thus address both traditional medical literature and contemporary TCM information research, showing the author's attention to both scholarly organization of classical medicine and new disciplinary fields. Because no reliable records of biography, nationality, or professional positions are available, no speculation is offered here. Readers may consult the two works themselves for a fuller sense of the author's scholarly orientation and writing style.

毛树松 Author

Mao Shusong is a Chinese author focusing on the field of TCM clinical data and knowledge engineering. Public information about him is limited, and his nationality, dates of birth and death, and educational background are not clearly documented. Judging from the three works held in the collection, his writing centers on the structured processing of TCM clinical data, syndrome informatics, and the theory and practice of big data knowledge engineering, covering topics such as the methodology for structuring and knowledge association of TCM clinical data and TCM syndrome informatics; these are specialized works under the categories of medicine and examinations. His works reflect an approach that combines modern information technology with the TCM knowledge system, aiming at the standardized organization of TCM clinical data and research on knowledge association, and are suitable for relevant professionals and exam candidates. Overall, Mao Shusong's writings emphasize methodology and engineering practice and offer a systematic overview in the interdisciplinary direction of TCM informatics; however, limited by publicly available information, his personal experience and academic influence cannot yet be described in detail.