Name
Title | ||
|---|---|---|
Discovering treatment pattern in traditional Chinese medicine clinical cases using 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 a prescription. In this paper, we propose a framework which mines the treatment pattern in TCM clinical cases by using probabilistic 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 model on real world TCM clinical cases. The experiment validates the effectiveness of our method. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BIBM.2014.6999356 | BIBM |
Keywords | Field | DocType |
diagnosis,diseases,pattern classification,function prediction,doctors,traditional chinese medicine clinical cases,clinical experience,topic model,tcm clinical cases,data mining,tcm domain knowledge,treatment pattern discovery,bioinformatics,patient diagnosis,patient treatment,probability,probabilistic topic model,traditional chinese medicine,ontologies,labeling,computational modeling,logistics,support vector machines | Ontology (information science),Domain knowledge,Computer science,Support vector machine,Traditional Chinese medicine,Bioinformatics,Topic model,Probabilistic logic,Medical prescription | Conference |
ISSN | Citations | PageRank |
2156-1125 | 0 | 0.34 |
References | Authors | |
1 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang Yao | 1 | 55 | 15.40 |
| Yin Zhang | 2 | 11 | 2.26 |
| Baogang Wei | 3 | 2 | 0.70 |
| Wei Wang | 4 | 6 | 1.14 |
| Yuejiao Zhang | 5 | 6 | 0.80 |
| Xiaolin Ren | 6 | 0 | 0.34 |