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
Link To Document :
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