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A combination system for prediction of Chinese Materia Medica properties
- Source :
- Computer Methods and Programs in Biomedicine. 101:253-264
- Publication Year :
- 2011
- Publisher :
- Elsevier BV, 2011.
-
Abstract
- Identifying and explaining the property of Chinese Materia Medica (CMM) is an important and urgent mission in recent CMM researches. In the present work, we built a combination system for predicting the cold/hot property of CMM based on chemical material basis. A novel strategy, weight center treatment, was used to solve the problem that the chemical description was unable to be applied to CMM. As the results of prediction, the accuracy of 83.3% and 81.0% for the training and the test set, respectively, indicates that this system is a useful tool to predict the property of unidentified folk herbs and foreign herbs. It will characterize these herbs with traditional Chinese medicine properties so as to design new CMM formulas for better therapeutics. Moreover, we found some interesting explanation about the property of CMM based on chemical information by using the selected descriptors. It will give new insight into the CMM property from the standpoint of chemistry.
- Subjects :
- Property (philosophy)
Databases, Factual
Traditional medicine
business.industry
Materia medica
Health Informatics
Machine learning
computer.software_genre
Computer Science Applications
Test set
Materia Medica
Medicine
Artificial intelligence
Medicine, Chinese Traditional
Combination system
business
computer
Software
Drugs, Chinese Herbal
Subjects
Details
- ISSN :
- 01692607
- Volume :
- 101
- Database :
- OpenAIRE
- Journal :
- Computer Methods and Programs in Biomedicine
- Accession number :
- edsair.doi.dedup.....bf74e973d8f827265eb5b780612c6722