Paper Info
Title
A Study on Accuracy Improvement of Knowledge Extraction from the Medical Package Inserts.
Abstract
This paper presents the evaluation method of the effect range from the package insert of medicine with text mining. Most of the people who take the over the counter medicines cannot understand the medicinal effects. This is because they have little knowledge of the medicine. The ingredients of the over the counter medicines are made from prescription products. The prescription product shows various laboratory findings to obtain authorization from the Ministry of Health, Labour and Welfare. The medical information is described in the package insert of the medicine, and anyone is available. It is possible to evaluate the effect of the ingredient in the over the counter medicines, if we analyse the medical information described in this package insert of the medicine with text mining method. This paper, we focus on both the antipyretic and the antitussive among lots of the over the counter medicines and make intensive research with them. However, variability is observed in the results of the analysis. We analyse the effect of magnification of each experimental configuration. Since the size of this fluctuation range comes from the experimental configuration. Therefore, we summarize the medication type and the experimental data of the medicine in each experimental configuration. As a result, we are succeeding in the effective range of medicine with text mining, if we extract the experimental configuration and analysis above summarization.
Year
DOI
Venue
2014
10.1016/j.procs.2014.08.256
Procedia Computer Science
Keywords
Field
DocType
Package Insert,Medicine,Effect range of medicine,Experimental configuration,Quantitative comparison reserarch,Text mining
Automatic summarization,Data mining,Christian ministry,Experimental data,Computer science,Authorization,Knowledge extraction,Package insert,Medical prescription
Conference
Volume
ISSN
Citations 
35
1877-0509
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Takashi Ikoma112.17
Masakazu Takahashi247.09
Kazuhiko Tsuda310847.18