Paper Abstract and Keywords |
Presentation |
2018-09-25 14:10
Neural network based cause reclassification of incidents at dispensing in pharmacies. Yoshiki Kobari (SIT), Masaomi Kimura (Shibaura Inst. of Tech.) SSS2018-21 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Incidents in pharmacies are the cases whose causes are common with medical accidents. Most of the root cause of incidents at dispensing in pharmacies has been reported as confirmation failure. Confirmation failure is not a cause to cause incidents, and it cannot be an essential cause. Because of this, the purpose of this study is to propose a new root cause model according to human action classes, and to show applicability to assistance for pharmacists to identify root causes by using a neural network. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Pharmacy incident reports / Word2Vec / Neural network / K-fold cross-validation / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 118, no. 221, SSS2018-21, pp. 9-12, Sept. 2018. |
Paper # |
SSS2018-21 |
Date of Issue |
2018-09-18 (SSS) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
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SSS2018-21 |
Conference Information |
Committee |
SSS |
Conference Date |
2018-09-25 - 2018-09-25 |
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(See Japanese page) |
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Registration To |
SSS |
Conference Code |
2018-09-SSS |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
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(See Japanese page) |
Title (in English) |
Neural network based cause reclassification of incidents at dispensing in pharmacies. |
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Pharmacy incident reports |
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Word2Vec |
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Neural network |
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K-fold cross-validation |
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1st Author's Name |
Yoshiki Kobari |
1st Author's Affiliation |
Shibaura Institute of Technology (SIT) |
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Masaomi Kimura |
2nd Author's Affiliation |
Shibaura Institute of Technology (Shibaura Inst. of Tech.) |
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Speaker |
Author-1 |
Date Time |
2018-09-25 14:10:00 |
Presentation Time |
35 minutes |
Registration for |
SSS |
Paper # |
SSS2018-21 |
Volume (vol) |
vol.118 |
Number (no) |
no.221 |
Page |
pp.9-12 |
#Pages |
4 |
Date of Issue |
2018-09-18 (SSS) |
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