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This contributed volume explores how data mining, machine learning, and similar statistical techniques can analyze the types of problems arising from Traditional Chinese Medicine (TCM) research. The book focuses on the study of clinical data and the analysis of herbal data. Challenges addressed include diagnosis, prescription analysis, ingredient discoveries, network based mechanism deciphering, pattern-activity relationships, and medical informatics. Each author demonstrates how they made use of machine learning, data mining, statistics and other analytic techniques to resolve their research challenges, how successful if these techniques were applied, any insight noted and how these insights define the most appropriate future work to be carried out. Readers are given an opportunity to understand the complexity of diagnosis and treatment decision, the difficulty of modeling of efficacy in terms of herbs, the identification of constituent compounds in an herb, the relationship between these compounds and biological outcome so that evidence-based predictions can be made. Drawing on a wide range of experienced contributors, Data Analytics for Traditional Chinese Medicine Research is a valuable reference for professionals and researchers working in health informatics and data mining. The techniques are also useful for biostatisticians and health practitioners interested in traditional medicine and data analytics.
This book gathers a selection of peer-reviewed papers presented at the first Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2019) conference, held in Shengyang, China, on 28–29 December 2019. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
For over two thousand years, Traditional Chinese Medicine (TCM) has made many significant contributions to China's growth and prosperity. This textbook, based on the unique characteristics of TCM, discusses its principle theories and presents a comprehensive daily practice guide for health maintenance and disease treatment. The book provides clinical practitioners with a fundamental understanding of the essence of TCM.We highly recommend this book for students interested in TCM, Chinese medicine doctors and other healthcare professionals, biomedical researchers, and interested individuals. Readers will benefit from the inspirational viewpoints discussed in the book.
Annotation The second volume of this book series on the modern practice of Chinese medicine continues with the focus on evidence-based TCM research. It is even more focused than the preceding one ? providing detailed information about the best sources of herbal supply required for research and drug development purposes. Herbal supply has always been a major concern for TCM researchers because it is difficult to ensure that the supply is of the best quality. Another highlight of the book are the special reviews on the state of Good Agricultural Practice
This book presents a compilation of the most recent implementation of artificial intelligence methods for solving different problems generated by the COVID-19. The problems addressed came from different fields and not only from medicine. The information contained in the book explores different areas of machine and deep learning, advanced image processing, computational intelligence, IoT, robotics and automation, optimization, mathematical modeling, neural networks, information technology, big data, data processing, data mining, and likewise. Moreover, the chapters include the theory and methodologies used to provide an overview of applying these tools to the useful contribution to help to face the emerging disaster. The book is primarily intended for researchers, decision makers, practitioners, and readers interested in these subject matters. The book is useful also as rich case studies and project proposals for postgraduate courses in those specializations.
Traditional Chinese medicine has been used for thousands of years by a large population. It is currently still serving many of the health needs of the Chinese people; and still enjoying their confi dence it is practised in China in parallel with modern Western medical treatment. In addition to scientific organisations dedi cated to modern Western medicine, e. g. the Chinese Academy of Medical Sciences and various medical schools, a series of parallel institutions have been established in China to promote traditional Chinese medicine, such as the Academy of Traditional Chinese Medicine and training institutions. Almost all hospitals in China have a department of traditional medicine. Furthermore, a large number of scientific journals are dedicated to traditional Chinese medicine, covering both experimental and clinical investigations. Medicinal materials constitute a key topic in the treatment of disease according to traditional Chinese medicine. The Chinese Pharmacopoeia (1985 edition) is therefore divided into two sepa rate volumes, Volume I containing traditional Chinese medicinal materials and preparations and Volume II containing pharmaceu tics of Western medicine. The oldest Chinese review of medicinal materials, Shennong Bencao Jing (100-200 A. D. ), covered 365 herbal drugs. The clas sic compilation in this field, Bencao Gangmu (Compendium of Materia Medica), was published in 1578 by Li Shi-zhen and recorded as many as 1898 crude drugs of plant, animal and min eral origin.
This book provides comprehensive coverage of the latest advances and trends in information technology, science and engineering. Specifically, it addresses a number of broad themes, including multi-modal informatics, data mining, agent-based and multi-agent systems for health and education informatics, which inspire the development of intelligent information technologies. The book covers a wide range of topics such as AI applications and innovations in health and education informatics; data and knowledge management; multi-modal application management; and web/social media mining for multi-modal informatics. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and a useful reference guide for newcomers to the field. This book is a compilation of the papers presented in the 4th International Conference on Multi-modal Information Analytics, held online, on April 23, 2022.
This book gathers a selection of peer-reviewed papers presented at the third Big Data Analytics for Cyber-Physical System in Smart City (BDCPS 2021) conference, held in Shanghai, China, on Nov. 27, 2021. The contributions, prepared by an international team of scientists and engineers, cover the latest advances made in the field of machine learning, and big data analytics methods and approaches for the data-driven co-design of communication, computing, and control for smart cities. Given its scope, it offers a valuable resource for all researchers and professionals interested in big data, smart cities, and cyber-physical systems.
Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.
In covering the subject of Chinese medicine, this book addresses topics such as oracle bones, the treatment of women, fertility and childbirth, nutrition, acupuncture, and Qi as well as examining Chinese medicine as practiced globally in places such as Africa, Australia, Vietnam, Korea, and the United States.