Comment on applications of data mining used in studies of heritage of experiences of national medical masters / 中国中药杂志
China Journal of Chinese Materia Medica
;
(24): 614-617, 2014.
Article
in Chinese
| WPRIM
| ID: wpr-300183
ABSTRACT
Data mining, as known as knowledge discovery in databases, is a non-trivial process of revealing the implied, previously unknown and potentially useful information from the massive data. In recently years, the applications of data mining in the field of pharmaceutical research of traditional Chinese medicine have widespread. Especially in the field of the heritage of experiences of na-tional medical masters, data mining plays an important role. In this study, we would expound of the use of methods of data mining in the heritage of experiences of national medical masters, and analyze their advantages and disadvantages, such as association rules, Bayesian networks, neural networks, and decision trees.
Full text:
Available
Index:
WPRIM (Western Pacific)
Main subject:
Neural Networks, Computer
/
Data Mining
/
Databases, Pharmaceutical
/
Medicine, Chinese Traditional
Type of study:
Diagnostic study
/
Prognostic study
Language:
Chinese
Journal:
China Journal of Chinese Materia Medica
Year:
2014
Type:
Article
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