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Data Analytics for Traditional Chinese Medicine Research
Poon Josiah
€ 128.33
FREE Delivery in Ireland
Description for Data Analytics for Traditional Chinese Medicine Research
Hardcover. Data Analytics for Traditional Chinese Medicine Research Editor(s): Poon, Josiah; K. Poon, Simon. Num Pages: 248 pages, 14 black & white illustrations, 45 colour illustrations, 42 black & white tables, biograp. BIC Classification: 1FPC; MBGR; MX. Category: (P) Professional & Vocational. Dimension: 185 x 241 x 19. Weight in Grams: 530.
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
Hardback
Publication date
2014
Publisher
Springer
Condition
New
Number of Pages
248
Place of Publication
Cham, Switzerland
ISBN
9783319038001
SKU
V9783319038001
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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