The similarity index of character shape of medicine names based on character shape similarity (II)

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

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

1 Citation (Scopus)

Abstract

The similarity of drug names in Japanese such as (Amaryl) and (Almarl) causes confusion over drug names and can lead to medical errors. In order to prevent such errors, methods of computing their similarity have been proposed. However, there are no studies that take account of character shape similarity quantitatively. In a previous study, we calculated the character shape similarity by template matching technique and proposed a method of measuring medicine name similarity based on it. Although we obtained a high correlation coefficient between the medicine name similarity values and subjective evaluation, we observed some character pairs that are not similar. In this study, we improved the method of computing the character shape similarity based on the characteristic points of character and compared it with advanced methods.

Original languageEnglish
Title of host publicationHuman-Computer Interaction
Subtitle of host publicationDesign and Development Approaches - 14th International Conference, HCI International 2011, Proceedings
Pages628-636
Number of pages9
EditionPART 1
DOIs
Publication statusPublished - 2011 Jul 19
Event14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States
Duration: 2011 Jul 92011 Jul 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6761 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference14th International Conference on Human-Computer Interaction, HCI International 2011
CountryUnited States
CityOrlando, FL
Period11/7/911/7/14

Keywords

  • Character shape similarity
  • Medical safety
  • Medicine name similarity

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'The similarity index of character shape of medicine names based on character shape similarity (II)'. Together they form a unique fingerprint.

  • Cite this

    Nabeta, K., Hatano, A., Ishida, H., Kimura, M., Ohkura, M., & Tsuchiya, F. (2011). The similarity index of character shape of medicine names based on character shape similarity (II). In Human-Computer Interaction: Design and Development Approaches - 14th International Conference, HCI International 2011, Proceedings (PART 1 ed., pp. 628-636). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6761 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-21602-2_68