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

机译:提高医疗包装说明书中知识提取精度的研究

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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 analyzed 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 do intensive research with them. However, variability is observed in the results of the analysis. We analyze 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 succeed in the effective range of medicine with text mining, if we extracted the experimental configuration and analyzed above summarization.
机译:本文提出了从药物包装说明书到文本挖掘的效果范围评价方法。服用非处方药的大多数人都无法理解其药效。这是因为他们对该药知之甚少。非处方药的成分均由处方药制成。处方产品显示出各种实验室检查结果,可得到厚生劳动省的授权。医疗信息在药品包装插页中描述,任何人都可以使用。如果我们使用文本挖掘方法分析了该药品包装说明书中描述的医学信息,则可以评估非处方药中该成分的效果。本文将重点研究许多非处方药中的解热药和镇咳药,并对它们进行深入研究。但是,在分析结果中观察到了可变性。我们分析每种实验配置的放大效果。由于该波动范围的大小来自实验配置。因此,我们总结了每种实验配置中的药物类型和药物的实验数据。结果,如果我们提取实验配置并进行以上总结分析,我们将通过文本挖掘在医学的有效范围内取得成功。

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