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| Presentation | 2015-09-11 11:35 Feature Words to Predict Long Post-Operatively Stay in Semi-structured Medical Records Takanori Yamashita, Haruka Kubo, Yuusuke Adachi, Yoshifumi Wakata, Brendan Flanagan (Kyushu Univ.), Hidehisa Soejima (Kumamoto Hospital), Naoki Nakashima, Sachio Hirokawa (Kyushu Univ.)  NLC2015-32 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The hospital information system has expanded, and importance of medical data utilization is increasing. Electronic medical data include structured digital data and unstructured text data. It is expected that analyzing unstructured text data contribute to clinical decision support and improve medical process. The present paper analyzes the words that appear in semi-structured medical chart to predict the postoperative length of stay. SVM (support vector machine) were applied to extract feature words that characterize the medical charts of patients who stayed longer than the standard hospitalization. Three measures were proposed and the prediction performance for importance of the feature word was evaluated with respect to each measure. We extract the words that related clinical test, and show high frequency of the words in Objective item. Furthermore, we apply to show feature words that characterize the medical charts of long-hospitalization by Decision tree. |
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| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | medical chart / POMR / SVM(support vector machine) / Decision Tree / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 222, NLC2015-32, pp. 75-79, Sept. 2015. | |
| Paper # | NLC2015-32 | |
| Date of Issue | 2015-09-03 (NLC) | |
| 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 | NLC2015-32 |
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| Conference Information | |
| Committee | NLC |
| Conference Date | 2015-09-10 - 2015-09-11 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Convention Room AP Shibuya-Dogenzaka (Tokyo) |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | The Seventh Text Mining Symposium |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2015-09-NLC |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Feature Words to Predict Long Post-Operatively Stay in Semi-structured Medical Records |
| Sub Title (in English) | |
| Keyword(1) | medical chart |
| Keyword(2) | POMR |
| Keyword(3) | SVM(support vector machine) |
| Keyword(4) | Decision Tree |
| Keyword(5) | |
| Keyword(6) | |
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| 1st Author's Name | Takanori Yamashita |
| 1st Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 2nd Author's Name | Haruka Kubo |
| 2nd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 3rd Author's Name | Yuusuke Adachi |
| 3rd Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 4th Author's Name | Yoshifumi Wakata |
| 4th Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 5th Author's Name | Brendan Flanagan |
| 5th Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 6th Author's Name | Hidehisa Soejima |
| 6th Author's Affiliation | Saiseikai Kumamoto Hospital (Kumamoto Hospital) |
| 7th Author's Name | Naoki Nakashima |
| 7th Author's Affiliation | Kyushu University (Kyushu Univ.) |
| 8th Author's Name | Sachio Hirokawa |
| 8th Author's Affiliation | Kyushu University (Kyushu Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-09-11 11:35:00 |
| Presentation Time | 25 minutes |
| Registration for | NLC |
| Paper # | NLC2015-32 |
| Volume (vol) | vol.115 |
| Number (no) | no.222 |
| Page | pp.75-79 |
| #Pages | 5 |
| Date of Issue | 2015-09-03 (NLC) |
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