Therapeutic category improvement method based on the words appearing in effect-efficacy description

Hirotsugu Ishida, Keita Nabeta, Masaomi Kimura, Michiko Ohkura, Fumito Tsuchiya

研究成果: Conference contribution

抜粋

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.

元の言語English
ホスト出版物のタイトルHuman-Computer Interaction
ホスト出版物のサブタイトルUsers and Applications - 14th International Conference, HCI International 2011, Proceedings
ページ174-181
ページ数8
エディションPART 4
DOI
出版物ステータスPublished - 2011 7 19
イベント14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States
継続期間: 2011 7 92011 7 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 4
6764 LNCS
ISSN(印刷物)0302-9743
ISSN(電子版)1611-3349

Conference

Conference14th International Conference on Human-Computer Interaction, HCI International 2011
United States
Orlando, FL
期間11/7/911/7/14

    フィンガープリント

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Ishida, H., Nabeta, K., Kimura, M., Ohkura, M., & Tsuchiya, F. (2011). Therapeutic category improvement method based on the words appearing in effect-efficacy description. : Human-Computer Interaction: Users and Applications - 14th International Conference, HCI International 2011, Proceedings (PART 4 版, pp. 174-181). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 6764 LNCS, 番号 PART 4). https://doi.org/10.1007/978-3-642-21619-0_23