Paper Info
Title
A Text-Mining Analysis On The Application Of Traditional Chinese Medicine External Therapy And Food Therapy In Hypertension Treatment
Abstract
Hypertension becomes a major public health problem due to its high prevalence and serious complications. The complementary therapies of Traditional Chinese Medicine (TCM) play important roles in hypertension treatment. This study analyzed the application of the TCM external therapy and food therapy by text mining. Subsequently, suitable techniques and methods which were frequently used on hypertension treatment were explored. The text mining results showed that acupuncture, massage, Tuina, auricular-plaster and external application of Chinese herb medicine(CHM) were the top 5 TCM external therapy techniques, while placenta, lily root, pseudoginseng, peanut, sea horse, wine, radix aconiti carmichaeli, lemon, soybean and fructus crataegi were the top 10 foods used for hypertension treatment. The combinations of external therapy techniques were demonstrated in network, so does the combinations of the foods. The results provided good references for both clinical practice and medical research.
Year
DOI
Venue
2013
10.1109/BIBM.2013.6732642
2013 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM)
Keywords
Field
DocType
hypertension, text mining, external therapy, food therapy
Radix Aconiti,Text mining,Massage,Computer science,Clinical Practice,Intensive care medicine,Traditional Chinese medicine,Acupuncture,Public healthcare,Bioinformatics,Patient treatment
Conference
Volume
Issue
ISSN
null
null
2156-1125
Citations 
PageRank 
References 
0
0.34
0
Authors
10
Name
Order
Citations
PageRank
Minghai Zhang100.34
Dongmei Jia2415.64
Xiaoxia Ren31658.37
Guang Zheng42810.72
Hongtao Guo5299.71
Jing Yang63720.88
Xiaojuan He7257.75
Aiping Lu800.68
Miao Jiang96312.07
Yaoxian Wang1002.70