Abstract
Medical drugs have various efficacies, and are classified focusing on their purpose of use. In Japan, the Ministry of Internal Affairs and Communications gives Japan standard commodity classification (JSCC) numbers to drugs. Therapeutic category numbers are decided based on three digit numbers after the head digits “87”. Although the current JSCC numbers are determined based on the revised document “Japan standard commodity classification” compiled in 1990, they have not been revised for 20 years. As a result, when drugs are categorized based on this categorizing system, some drugs are not applicable to any category. As the result, the drugs have been categorized as “other categories” such as “drug for other allergy” or “drug for other cardiovascular disease.” The number of such drugs is increasing. However, since it is conceivable that drugs having similar efficacy are often included in other categories, it is necessary that such drugs are classified independently from the “other categories.” Therefore, in this study, we analyzed drugs information categorized as “drugs for other cardiovascular disease,” and proposed a method of classifying these drugs by using clustering.
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Ishida, H., Nabeta, K., Kimura, M., Ohkura, M., Tsuchiya, F. (2011). Therapeutic Category Improvement Method Based on the Words Appearing in Effect-Efficacy Description. In: Jacko, J.A. (eds) Human-Computer Interaction. Users and Applications. HCI 2011. Lecture Notes in Computer Science, vol 6764. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21619-0_23
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DOI: https://doi.org/10.1007/978-3-642-21619-0_23
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