Data Analytics for Traditional Chinese Medicine Research

Language: English

Published by Springer, Springer, 2016

3319346296 / 9783319346298

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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.…

Seller Inventory # 9783319346298

Title
Data Analytics for Traditional Chinese Medicine Research
Author
Josiah Poon
Publisher
Springer, Springer
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3319346296
ISBN 13
9783319346298
Item weight
400 grams
Dimensions
235x155x15 mm

AHA-BUCH GmbH

Einbeck, Germany

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