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Classification of similarity-looking drugs by human perception

Authors
Kim, J.Park, M.Kim, C.Choi, E.Kim, B.Park, T.
Issue Date
Jul-2019
Publisher
Springer Verlag
Keywords
Card sorting; Drug error; Human perception; Multidimensional scaling
Citation
Advances in Intelligent Systems and Computing, v.972, pp.106 - 115
Journal Title
Advances in Intelligent Systems and Computing
Volume
972
Start Page
106
End Page
115
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/35040
DOI
10.1007/978-3-030-19135-1_11
ISSN
2194-5357
Abstract
The aim of this study is to investigate the similarities of drug shapes for preventing medical accidents due to similar appearances. According to the Medical Error Corrective Guidance published by the Korea Ministry of Health and Welfare’s policy team, a number of pairs of medicine that should be treated carefully in order to prevent confusion. However, systematic investigation on which morphological factors cause confusion is not enough yet. In this study, investigated human’s perception of similar drugs experimentally. As the first step, 15,000 tablet images were collected from the Korea Food & Drug Administration’s online medicine library. Among them, 100 randomly selected images were used for card sorting experiment to construct a similarity matrix. The tablets were classified into several groups based on the similarity score analyzed by multidimensional scaling (MDS). The result showed that people have a tendency to classify tablets by shape, color, size and material. © Springer Nature Switzerland AG 2020.
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