Name
Title | ||
|---|---|---|
Discovering Treatment Pattern in Traditional Chinese Medicine Clinical Cases by Exploiting Supervised Topic Model and Domain Knowledge. |
Abstract | ||
|---|---|---|
In Traditional Chinese Medicine (TCM), the prescription is the crystallization of clinical experience of doctors, which is the main way to cure diseases in China for thousands of years. Clinical cases, on the other hand, describe how doctors diagnose and prescribe. In this paper, we propose a framework which mines treatment patterns in TCM clinical cases by exploiting supervised topic model and TCM domain knowledge. The framework can reflect principle rules in TCM and improve function prediction of a new prescription. We evaluate our method on 3,090 real world TCM clinical cases. The experiment validates the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.jbi.2015.10.012 | Journal of Biomedical Informatics |
Keywords | Field | DocType |
Traditional Chinese Medicine,Clinical cases,Treatment pattern discovery,Topic model,TCM domain knowledge | Data mining,Information retrieval,Domain knowledge,Alternative medicine,Computer science,Traditional Chinese medicine,Topic model,Medical prescription | Journal |
Volume | Issue | ISSN |
58 | C | 1532-0480 |
Citations | PageRank | References |
6 | 0.46 | 97 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang Yao | 1 | 55 | 15.40 |
| Yin Zhang | 2 | 11 | 2.26 |
| baogang | 3 | 209 | 29.51 |
| Wei Wang | 4 | 6 | 1.14 |
| Yuejiao Zhang | 5 | 6 | 0.80 |
| Xiaolin Ren | 6 | 7 | 1.50 |
| Yali Bian | 7 | 6 | 0.80 |