Title :
Application of Decision-Tree Algorithm to GSP Analysis and Assessment of Drug Safety Situation
Author :
Ye, Liang ; Lu, Rongzhan ; Shao, Qian ; Dong, Ran
Author_Institution :
Comput. Eng. Dept., Suzhou Vocational Univ., Suzhou, China
fDate :
Nov. 30 2009-Dec. 1 2009
Abstract :
It is great practical significance to conduct a scientific, accurate, and complete analysis, assessment or even early warning on the safety of current and future medicines. In this paper, data mining algorithm is put forward and suggested to be used for GSP drug regulation of the government. In light of the massive GSP data, we, with the help of the decision-tree theory and related analysis, work out a fairly scientific and rational data mining structure, which will be then built and pruned to get the classification rules and then comprehensive assessment, ultimately providing GSP decision-makers with more effective management decision-making basis.
Keywords :
data mining; data structures; decision making; decision trees; drug delivery systems; drugs; GSP analysis; GSP drug regulation; data mining algorithm; decision-tree algorithm; drug safety situation assessment; effective management decision-making basis; good supply practice; rational data mining structure; Algorithm design and analysis; Clustering algorithms; Data mining; Decision trees; Drugs; Government; Mining industry; Pharmaceuticals; Quality management; Safety; Decision-tree; GSP assessment; data mining; drug safety;
Conference_Titel :
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3888-4
DOI :
10.1109/KAM.2009.72
