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| Paper Abstract and Keywords | ||
| Presentation | 2016-03-22 09:00 A Method to Predict New Uses of Existing Drugs Using Machine Learning and to Evaluate Their Reliability Kohei Adachi, Yutaka Fukuoka (Kogakuin Univ.)  MBE2015-102 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This study proposed a method to evaluate the reliability of predicting new uses of existing drugs. The predication was performed with a support vector machine (SVM) using various data. Because the reliability of prediction could not be evaluated based on a SVM, whose output was binary, this study evaluated the reliability as a product of a distance from the separating hyperplane of the SVM and a similarity between the target disease of the drug and a candidate disease. A validation using real data revealed that the performance of the proposed method was better than that of using the distance from the hyperplane, suggesting that the method is promising. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Drug repositioning / Machine Learning / Support Vector Machine / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 513, MBE2015-102, pp. 1-4, March 2016. | |
| Paper # | MBE2015-102 | |
| Date of Issue | 2016-03-15 (MBE) | |
| 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) | |
| Download PDF | MBE2015-102 |
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| Conference Information | |
| Committee | MBE NC |
| Conference Date | 2016-03-22 - 2016-03-23 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tamagawa University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | MBE |
| Conference Code | 2016-03-MBE-NC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Method to Predict New Uses of Existing Drugs Using Machine Learning and to Evaluate Their Reliability |
| Sub Title (in English) | |
| Keyword(1) | Drug repositioning |
| Keyword(2) | Machine Learning |
| Keyword(3) | Support Vector Machine |
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| 1st Author's Name | Kohei Adachi |
| 1st Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
| 2nd Author's Name | Yutaka Fukuoka |
| 2nd Author's Affiliation | Kogakuin University (Kogakuin Univ.) |
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| Speaker | Author-1 |
| Date Time | 2016-03-22 09:00:00 |
| Presentation Time | 25 minutes |
| Registration for | MBE |
| Paper # | MBE2015-102 |
| Volume (vol) | vol.115 |
| Number (no) | no.513 |
| Page | pp.1-4 |
| #Pages | 4 |
| Date of Issue | 2016-03-15 (MBE) |
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