Name
Title | ||
|---|---|---|
Discovery of regularities in the use of herbs in traditional chinese medicine prescriptions |
Abstract | ||
|---|---|---|
Traditional Chinese medicine (TCM) is a discipline with its own distinct methodologies and philosophical principles. The main method of treatment in TCM is to use herb prescriptions. Typically, a number of herbs are combined to form a formula and different formulae are prescribed for different patients. Regularities on the mixture of herbs in the prescriptions are important for both clinical treatment and novel patent medicine development. In this study, we analyze TCM formula data using latent tree (LT) models. Interesting regularities are discovered. Those regularities are of interest to students of TCM as well as pharmaceutical companies that manufacture medicine using Chinese herbs. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-28320-8_30 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
Keywords | Field | DocType |
traditional chinese medicine prescription,different patient,traditional chinese medicine,different formula,clinical treatment,manufacture medicine,interesting regularity,chinese herb,novel patent medicine development,herb prescription,tcm formula data | Chinese herbs,Clinical treatment,Computer science,Herb,Traditional Chinese medicine,Artificial intelligence,Patent medicine,TCM Formula,Machine learning,Traditional medicine,Medical prescription | Conference |
Volume | Issue | ISSN |
7104 LNAI | null | 16113349 |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nevin .L Zhang | 1 | 895 | 97.21 |
| Runsun Zhang | 2 | 58 | 5.33 |
| Tao Chen | 3 | 76 | 7.04 |