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

doi:10.1007/978-3-642-21602-2_68

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 proceeding › Conference 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 language	English
Title of host publication	Human-Computer Interaction
Subtitle of host publication	Design and Development Approaches - 14th International Conference, HCI International 2011, Proceedings
Pages	628-636
Number of pages	9
Edition	PART 1
DOIs	https://doi.org/10.1007/978-3-642-21602-2_68
Publication status	Published - 2011
Event	14th International Conference on Human-Computer Interaction, HCI International 2011 - Orlando, FL, United States Duration: 2011 Jul 9 → 2011 Jul 14

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 1
Volume	6761 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Human-Computer Interaction, HCI International 2011
Country/Territory	United States
City	Orlando, FL
Period	11/7/9 → 11/7/14

Keywords

Character shape similarity
Medical safety
Medicine name similarity

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-642-21602-2_68

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

The similarity index of character shape of medicine names based on character shape similarity (II). / Nabeta, Keita; Hatano, Akira; Ishida, Hirotsugu et al.
Human-Computer Interaction: Design and Development Approaches - 14th International Conference, HCI International 2011, Proceedings. PART 1. ed. 2011. p. 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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 1, vol. 6761 LNCS, pp. 628-636, 14th International Conference on Human-Computer Interaction, HCI International 2011, Orlando, FL, United States, 11/7/9. https://doi.org/10.1007/978-3-642-21602-2_68

Nabeta K, Hatano A, Ishida H, Kimura M, Ohkura M, Tsuchiya F. 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. 2011. p. 628-636. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1). doi: 10.1007/978-3-642-21602-2_68

Nabeta, Keita ; Hatano, Akira ; Ishida, Hirotsugu et al. / The similarity index of character shape of medicine names based on character shape similarity (II). Human-Computer Interaction: Design and Development Approaches - 14th International Conference, HCI International 2011, Proceedings. PART 1. ed. 2011. pp. 628-636 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 1).

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

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Keywords

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