DocumentCode
534244
Title
The Research for Traditional Chinese Medicine´s Nature and its Classification Model
Author
Nie, Bin ; Jianqiang Du ; Yu, Riyue ; Xu, Guoliang ; Wang, Zhuo ; Liu, Hongning ; Wen, Quan
Author_Institution
Sch. of Comput., Jiang Xi Univ. of Traditional Chinese Med., Nanchang, China
Volume
1
fYear
2010
fDate
16-18 July 2010
Firstpage
358
Lastpage
361
Abstract
the research for traditional Chinese medicine´s warm and cold natures classification is a significative thing for clinical. The paper put forward a model to classify Chinese herbs´ warm and cold natures. The first, data preprocessing; The second, extract the typical M/Z(mass-to-charge ratio) character values from these mice of the train sample have been given the warm or cold natures which have been known The third, these typical character values model rules set, test it use other same type natures typical character values and the different type natures typical character values respectively, the result is to filter the very important values (VIP), as the classification rules. The model was proved to be feasible and effective after tested with 6 type´s warm nature´s herbs, 6 type´s cold nature´s herbs.
Keywords
medicine; pattern classification; Chinese herb; Chinese medicine; cold nature classification; data preprocessing; warm nature classification; Biological system modeling; Data mining; Data models; Data preprocessing; Medical diagnostic imaging; Mice; Publishing; classification model; cold natures; data preprocessing; traditional Chinese medicin(TCM); warm natures;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Technology and Applications (IFITA), 2010 International Forum on
Conference_Location
Kunming
Print_ISBN
978-1-4244-7621-3
Electronic_ISBN
978-1-4244-7622-0
Type
conf
DOI
10.1109/IFITA.2010.182
Filename
5635040
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