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

Masaomi Kimura, Fumito Tsuchiya

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationHCI International 2013 - Posters' Extended Abstracts - International Conference, HCI International 2013, Proceedings
PublisherSpringer Verlag
Pages178-182
Number of pages5
EditionPART II
ISBN (Print)9783642394751
DOIs
Publication statusPublished - 2013 Jan 1
Event15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: 2013 Jul 212013 Jul 26

Publication series

NameCommunications in Computer and Information Science
NumberPART II
Volume374
ISSN (Print)1865-0929

Conference

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

Keywords

  • Dosage form
  • Medical safety
  • N-gram
  • Network analysis

ASJC Scopus subject areas

  • Computer Science(all)
  • Mathematics(all)

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