TY - JOUR
T1 - Similarity index for sound-alikeness of drug names with pitch accents
AU - Nagata, Tomoyuki
AU - Kimura, Masaomi
AU - Tsuchiya, Fumito
N1 - Publisher Copyright:
© 2014 The Authors. Published by Elsevier B.V.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - Drug name similarity is one of major reasons of medical accidents. In order to prevent from the accidents, one of the best ways is to avoid approving drugs that has the names similar to that of existing drugs. It is well-known that there are two kinds of drug name similarity, look-alikeness and sound-alikeness. Nabeta et. al. proposed a look-alikeness similarity index,which excludes the sound-alikeness. Though, in Japan, oral prescription is basically prohibited, emergent situation can force a doctor to prescribe orally. In such a situation, medical accidents can occur. In this study, we proposed a sound-alikeness similarity index based on quantitative similarity of consonants. The consonant similarity was proposed based on The International Phonetic Alphabet (IPA). Overall drug name similarity is calculated based on Letter Sequence Kernel (LSK). The similarity calculation method takes account of the effect of plural pitch accents. We divided a drug name into some pieces at the position where a pitch accent changes, applied LSK to each of them, and combined them to obtain the value of the similarity index. The similarity index proposed in this study achieved relatively high correlation to the results of our experiment, r ≈ 0.8.
AB - Drug name similarity is one of major reasons of medical accidents. In order to prevent from the accidents, one of the best ways is to avoid approving drugs that has the names similar to that of existing drugs. It is well-known that there are two kinds of drug name similarity, look-alikeness and sound-alikeness. Nabeta et. al. proposed a look-alikeness similarity index,which excludes the sound-alikeness. Though, in Japan, oral prescription is basically prohibited, emergent situation can force a doctor to prescribe orally. In such a situation, medical accidents can occur. In this study, we proposed a sound-alikeness similarity index based on quantitative similarity of consonants. The consonant similarity was proposed based on The International Phonetic Alphabet (IPA). Overall drug name similarity is calculated based on Letter Sequence Kernel (LSK). The similarity calculation method takes account of the effect of plural pitch accents. We divided a drug name into some pieces at the position where a pitch accent changes, applied LSK to each of them, and combined them to obtain the value of the similarity index. The similarity index proposed in this study achieved relatively high correlation to the results of our experiment, r ≈ 0.8.
KW - Drug names
KW - Medical Safety
KW - Similarity Index
UR - http://www.scopus.com/inward/record.url?scp=84924155236&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84924155236&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2014.08.235
DO - 10.1016/j.procs.2014.08.235
M3 - Conference article
AN - SCOPUS:84924155236
SN - 1877-0509
VL - 35
SP - 1519
EP - 1528
JO - Procedia Computer Science
JF - Procedia Computer Science
IS - C
T2 - International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2014
Y2 - 15 September 2014 through 17 September 2014
ER -