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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shouyi Yin Tao Liu Huafeng Wei Guang Ji |
| Copyright Year | 2010 |
| Description | Author affiliation: Institute of Digestive Disease, Longhua Hospital, Shanghai University of Traditional Chinese Medicine, China (Shouyi Yin; Tao Liu; Huafeng Wei; Guang Ji) |
| Abstract | Objective: Investigate syndromes classification of fatty liver. Method: Investigate the relationship between syndrome differentiation and symptom of fatty liver by using SOM neural network and whole network analysis method, and provide references for the standardization of syndrome differentiation. Analysis on centrality was carried out to evaluate the importance of each symptom in each syndrome differentiation. Analysis on group centralization was carried out to speculate the amount of the syndrome types and the accompanied degree of symptoms. Analysis on E-I index was carried out to speculate the reliability of the syndrome differentiation. Subgroup analysis was used to provide a reference for fatty liver syndromes. Result: The syndromes of fatty liver were found to be complex cluster syndromes rather than simple single syndromes. Conclusion: Analysis of the relationship between different symptoms of fatty liver revealed a conspicuous Chinese medicine syndromes colonization concept. Standardization of syndrome differentiation of fatty liver is of great importance for its high reference value. The analysis method based on a complex cluster syndromes database was proven feasible. |
| Starting Page | 598 |
| Ending Page | 602 |
| File Size | 487471 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424483037 |
| e-ISBN | 9781424483044 |
| DOI | 10.1109/BIBMW.2010.5703868 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tongue Pain Liver diseases Social network services Heating centrality social network analysis syndromes fatty liver Coatings whole network analysis |
| Content Type | Text |
| Resource Type | Article |
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