摘要
Traditional Chinese medicine (TCM) has been widely applied in chronic hepatitis B (CHB), and syndrome discrimination is the most important step of TCM and it is performed subjectively and generally by physicians at present, which hinders the application prospects of TCM. In this paper, a CHB discrimination model of TCM is proposed basing on information gain, logistic attribute selection and space vector, through the approach, critical weighting attributes are selected, and cases are discriminated. The discriminant model is evaluated by CHB dataset, 34 critical weighting attributes are selected and 555 typical cases of two syndromes are identified respectively. And the selected critical attributes are in sound agreement with those used in TCM syndrome differentiation by physicians. Finally, results of this discriminant model for CHB are compared with other methods, and experimental results also show the discriminant model performs well in the application for TCM syndrome differentiation of CHB.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 |
| 页 | 310-315 |
| 页数 | 6 |
| DOI | |
| 出版状态 | 已出版 - 2012 |
| 已对外发布 | 是 |
| 活动 | 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 - Philadelphia, PA, 美国 期限: 4 10月 2012 → 7 10月 2012 |
出版系列
| 姓名 | Proceedings - 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 |
|---|
会议
| 会议 | 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2012 |
|---|---|
| 国家/地区 | 美国 |
| 市 | Philadelphia, PA |
| 时期 | 4/10/12 → 7/10/12 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 3 良好健康与福祉
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