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2013 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2013)
Shanghai, China
Dec. 18, 2013 to Dec. 21, 2013
ISBN: 978-1-4799-1309-1
pp: 311-314
Hui-qin Zhang , School of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing, P R China
Jian Li , School of Basic Medical Sciences, Beijing University of Chinese Medicine, Beijing, P R China
Guang Zheng , Institute of Basic Research in Clinical Medicine, China, Academy of Chinese Medical Sciences, Beijing, P R China
Miao Jiang , Institute of Basic Research in Clinical Medicine, China, Academy of Chinese Medical Sciences, Beijing, P R China
Li Li , Institute of Basic Research in Clinical Medicine, China, Academy of Chinese Medical Sciences, Beijing, P R China
Yong Tan , Institute of Basic Research in Clinical Medicine, China, Academy of Chinese Medical Sciences, Beijing, P R China
Ai-ping Lu , Institute of Basic Research in Clinical Medicine, China, Academy of Chinese Medical Sciences, Beijing, P R China
ABSTRACT
Non-alcoholic fatty liver disease (NAFLD) is a kind of prevalence diseases. Traditional Chinese medicine (TCM) has better efficacy on treating NAFLD. But there are also not known about the critical pathogenesis and the corresponding biological factors. Regarding this, we addressed a text mining approach to analyze the pattern profile, rule of medication, and the pathological factors of NAFLD from the opening database (SinoMed and PubMed). Based on canonical data source, we have our data treatment scheduled in 4 steps: (1) data retrieving, (2) data pretreating, (3) data analyzing, and (4) data visualization. And according to the TCM theory of formulae-pattern-disease' correlation, we partly understand the possible TCM pathogenesis of NAFLD which linked biological process of lipid metabolism disorder, inflammation, and metabolic regulation confusion.
INDEX TERMS
Diseases, Liver diseases, Biological processes, Lipidomics, Biochemistry, Text mining
CITATION

H. Zhang et al., "Using text mining to understand traditional Chinese medicine pathogenesis of nonalcoholic fatty liver disease," 2013 IEEE International Conference on Bioinformatics and Biomedicine(BIBM), Shanghai, China China, 2013, pp. 311-314.
doi:10.1109/BIBM.2013.6732702
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