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Data Analytics for Traditional Chinese Medicine Research
. Ed(S): Poon, Josiah; K. Poon, Simon
€ 127.18
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Description for Data Analytics for Traditional Chinese Medicine Research
Paperback. Editor(s): Poon, Josiah; K. Poon, Simon. Num Pages: 260 pages, 14 black & white illustrations, 45 colour illustrations, 42 black & white tables, biograp. BIC Classification: MBGR; MX; UNF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 14. Weight in Grams: 403.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2016
Publisher
Springer International Publishing AG Switzerland
Number of pages
260
Condition
New
Number of Pages
248
Place of Publication
Cham, Switzerland
ISBN
9783319346298
SKU
V9783319346298
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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