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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