Data Analytics for Traditional Chinese Medicine Research
ISBN-13:
9783319038001
ISBN-10:
3319038001
Edition:
2014
Author:
Josiah Poon, Simon K. Poon
Publication date:
2014
Publisher:
Springer
Format:
Hardcover
260 pages
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Book details
ISBN-13:
9783319038001
ISBN-10:
3319038001
Edition:
2014
Author:
Josiah Poon, Simon K. Poon
Publication date:
2014
Publisher:
Springer
Format:
Hardcover
260 pages
Summary
Data Analytics for Traditional Chinese Medicine Research (ISBN-13: 9783319038001 and ISBN-10: 3319038001), written by authors
Josiah Poon, Simon K. Poon, was published by Springer in 2014.
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Description
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.
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