Name
Title | ||
|---|---|---|
Study on intelligent syndrome differentiation in traditional Chinese medicine based on multiple information fusion methods. |
Abstract | ||
|---|---|---|
Numerous researchers have taken the solid step forward towards the objectification research of Traditional Chinese Medicine (TCM) four diagnostic methods. However, it is deficient in studies on information fusion of the four diagnostic methods. We establish four-diagnosis syndrome differentiation model of TCM based on information fusion technology. The objective detection instruments of four-diagnostic method are applied to collect four-diagnosis objective information of 506 cases of clinical heart-system patients. Then multiple information fusion methods are adopted to establish recognition model of syndromes. The results of our experiments show that recognition rates of the six syndromes using multi-label learning is better than OCON artificial neural network and multiple support vector machine. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1504/IJDMB.2011.041554 | IJDMB |
Keywords | DocType | Volume |
multiple support vector machine,four-diagnosis syndrome differentiation model,four-diagnosis objective information,information fusion,intelligent syndrome differentiation,recognition model,multiple information fusion method,diagnostic method,traditional chinese medicine,objective detection instrument,information fusion technology,recognition rate | Journal | 5 |
Issue | ISSN | Citations |
4 | 1748-5673 | 0 |
PageRank | References | Authors |
0.34 | 1 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yiqin Wang | 1 | 57 | 16.28 |
| Haixia Yan | 2 | 31 | 9.47 |
| Rui Guo | 3 | 23 | 7.16 |
| Fufeng Li | 4 | 33 | 9.74 |
| Chunming Xia | 5 | 24 | 10.70 |
| Jianjun Yan | 6 | 23 | 7.20 |
| Zhao-Xia Xu | 7 | 0 | 2.03 |
| Guo-Ping Liu | 8 | 52 | 5.34 |
| Jin Xu | 9 | 0 | 2.03 |