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| Presentation | 2011-02-22 10:20 A Note on Disease Estimation from Electronic Receipt Data Using Multiple Kinds of Classifiers Hironori Ikeda, Yasutaka Hatakeyama, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)  ITS2010-53 IE2010-128 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | This paper proposes a method for estimating the diseases that need the largest medical resources from electronic receipt data. The proposed method uses Diagnosis Procedure Combination (DPC) data in which the diseases that need the largest medical resources are specified as training sets. From the training sets, the proposed method extracts pairs of feature vectors calculated from medical care information and labels of the diseases, which are used to train a classifier. Then the use of the classifier enables estimation of the diseases from electronic receipt data. This paper considers realization of more accurate estimation technique of the deseases that need the largest medical resources by using multiple kinds of classifiers. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Electronic Receipt / DPC / Classifier / Multiple kinds of classifiers / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 110, no. 421, IE2010-128, pp. 171-174, Feb. 2011. | |
| Paper # | IE2010-128 | |
| Date of Issue | 2011-02-14 (ITS, IE) | |
| 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 | ITS2010-53 IE2010-128 |
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| Conference Information | |
| Committee | ITS IE ITE-AIT ITE-HI ITE-ME |
| Conference Date | 2011-02-21 - 2011-02-22 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Hokkaido University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Paper Information | |
| Registration To | IE |
| Conference Code | 2011-02-ITS-IE-AIT-HI-ME |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Note on Disease Estimation from Electronic Receipt Data Using Multiple Kinds of Classifiers |
| Sub Title (in English) | |
| Keyword(1) | Electronic Receipt |
| Keyword(2) | DPC |
| Keyword(3) | Classifier |
| Keyword(4) | Multiple kinds of classifiers |
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| Keyword(6) | |
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| 1st Author's Name | Hironori Ikeda |
| 1st Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 2nd Author's Name | Yasutaka Hatakeyama |
| 2nd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 3rd Author's Name | Takahiro Ogawa |
| 3rd Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
| 4th Author's Name | Miki Haseyama |
| 4th Author's Affiliation | Hokkaido University (Hokkaido Univ.) |
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| Speaker | Author-1 |
| Date Time | 2011-02-22 10:20:00 |
| Presentation Time | 25 minutes |
| Registration for | IE |
| Paper # | ITS2010-53, IE2010-128 |
| Volume (vol) | vol.110 |
| Number (no) | no.420(ITS), no.421(IE) |
| Page | pp.171-174 |
| #Pages | 4 |
| Date of Issue | 2011-02-14 (ITS, IE) |
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