Name
Abstract | ||
|---|---|---|
Traditional Chinese Medicine (TCM) is a significant complementary medicine in modern medicine. Hypertension is one of the important causes of Heart cerebrovascular diseases. Research on hypertension in TCM is an important and attractive topic. Considering the exhausted consumption when data collection, few TCM clinical datasets are publicly available. Public providing TCM clinical datasets will not only promote the development of TCM itself, but also encourage the data analysis researches. TCM syndrome information collection form and SOP (standard operating procedure) of hypertension TCM differentiations are designed firstly. Essential hypertension is focused in this study. With strict control measures, 908 reliable TCM hypertension clinical cases are recorded. 167 features, including 129 TCM symptoms from Inspection, auscultation and olfaction, inquiry and palpation, 22 laboratory indicators, and 16 common indexes, are investigated and collected in this database. 13 labels (TCM syndrome) are concentrated in the database. Web address to visit the LEVIS TCM hypertension sharing system is provided. Database structure and table organization is explained in detail. Two examples are given to demonstrate the customized data download methods. LEVIS Hypertension TCM Database is published publicly in the paper. According to the research objectives, different items can be organized into a dataset and downloaded. Academic and noncommercial users can access it at http://levis.tongji.edu.cn/datasets/. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/BIBM.2013.6732672 | BIBM |
Keywords | Field | DocType |
traditional chinese medicine,hypertension,diseases,levis hypertension tcm database,database structure,table organization,clinical datasets,web sites,hypertension sharing system,tcm syndrome information collection,medical computing,bioinformatics,heart cerebrovascular diseases,information retrieval systems | Data collection,Computer science,Standard operating procedure,Traditional Chinese medicine,Database structure,Bioinformatics,Auscultation | Conference |
Volume | Issue | ISSN |
null | null | 2156-1125 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ai-hua Ou | 1 | 1 | 3.86 |
| Xiao-Zhong Lin | 2 | 0 | 1.01 |
| Guo-Zheng Li | 3 | 368 | 42.62 |
| Mingyu You | 4 | 160 | 16.22 |