A study on accuracy improvement of knowledge extraction from the medical package inserts

Takashi Ikoma, Masakazu Takahashi, Kazuhiko Tsuda


This paper presents the evaluation method of the effect range from the package insert of medicine with text mining. Mostof the people who take the over the counter medicines cannot understand the medicinal effects. This is because they havelittle knowledge of the medicine. The ingredients of the over the counter medicines are made from prescription products. Theprescription product shows various laboratory findings to obtain authorization from the Ministry of Health, Labour andWelfare.The medical information is described in the package insert of the medicine, and anyone is available. It is possible to evaluate theeffect of the ingredient in the over the counter medicines, if we analyzed the medical information described in this package insertof the medicine with text mining method. This paper, we focus on both the antipyretic and the antitussive among lots of the overthe counter medicines and do intensive research with them. However, variability is observed in the results of the analysis. Weanalyze the effect of magnification of each experimental configuration. Since the size of this fluctuation range comes from theexperimental configuration. Therefore, we summarize the medication type and the experimental data of the medicine in eachexperimental configuration. As a result, we succeed in the effective range of medicine with text mining, if we extracted theexperimental configuration and analyzed above summarization.

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DOI: https://doi.org/10.5430/air.v4n2p38


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Artificial Intelligence Research

ISSN 1927-6974 (Print)   ISSN 1927-6982 (Online)

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