Analysis on Drug Dosage Form Name Based on N-gram Technique and Network Analysis

Masaomi Kimura, Fumito Tsuchiya

研究成果: Conference contribution

抄録

In this paper, we analyzed drug dosage form names. We created the network structure whose nodes are dosage form names. Its edges between dosage form names denote that they share some of sub-strings generated based on N-gram technique. We employed Simpson coefficient to define the weight of an edge. We proposed a new clustering method and applied it to the network. The results showed that "dosage forms" can be categorized based on not only physical form information but their application site,purpose,processing and so on.

本文言語English
ホスト出版物のタイトルHCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings
出版社Springer Verlag
ページ178-182
ページ数5
PART II
ISBN(印刷版)9783642394751
DOI
出版ステータスPublished - 2013 1 1
イベント15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
継続期間: 2013 7 212013 7 26

出版物シリーズ

名前Communications in Computer and Information Science
番号PART II
374
ISSN(印刷版)1865-0929

Conference

Conference15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period13/7/2113/7/26

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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