Title :
Text Mining for the Verification of Scientific Effectiveness of Drugs
Author :
Ikoma, Takashi ; Fujita, Yoshikazu ; Tsuda, Kazuhiko
Author_Institution :
Grad. Sch. of Bus. Sci., Univ. of Tsukuba, Tokyo, Japan
Abstract :
Those who purchased the OTC drug cannot understand its efficiency. This is because most of the people do not have the knowledge of drug. This paper proposes the method of estimating the efficiency of OTC drug. The ingredient of OTC drug is a prescription drug. The prescription drugs have presented experimental results variety in order to obtain the approval of the Ministry of Health, Labor and Welfare. For this information, extracting the quantitative assessment of the efficacy OTC drug ingredients are analyzed with text mining method. Although there is much effect in OCT drug, we focus on analyzing the antipyretic effect in this paper. As a result, we succeeded in comparing the numerical effect of each component. If we carried out on various effects of this method, it is possible to express the effect of the OTC drug.
Keywords :
data mining; drugs; medical computing; text analysis; Ministry of Health Labor and Welfare; OTC drug ingredients; antipyretic effect; drugs scientific effectiveness; ethical drugs; over-the-counter drug; prescription drug; text mining method; verification; Aspirin; Concurrent computing; Educational institutions; Text mining; ethical drugs; packaged documents; property; text mining;
Conference_Titel :
Signal-Image Technology & Internet-Based Systems (SITIS), 2013 International Conference on
Conference_Location :
Kyoto
DOI :
10.1109/SITIS.2013.153