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| Presentation | 2023-03-18 11:45 Detection of Parkinson's disease patients from interview data using pre-trained language models Aiichiro Hayatsu, Ryohei Sasano, Koichi Takeda (Nagoya Univ.)  NLC2022-24 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | It is estimated that Parkinson’s disease (PD) affects 150,000 people in Japan, and the number of patients increases as society gets older. The importance of engineering support for early detection and effective treatment of this neurodegenerative disease has been recognized. In this study, we used transcribed data of medical interviews conducted on healthy subjects and PD patients, and constructed a classifier based on pre-trained language models such as BERT to detect PD patients by capturing the features of their speech content when compared to that of healthy subjects. The transcribed data of the medical interview used in this study consisted of multiple questions asked by the doctor to encourage the subject to speak freely, and a classifier based on a pre-trained language model was used to verify which questions were effective in detecting PD patients. In addition, we proposed an input format for pre-trained models when multiple response sentences are used as input, and investigated methods that can effectively handle multiple sentences. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Parkinson’s disease / pre-trained language models / text classification / / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 449, NLC2022-24, pp. 28-31, March 2023. | |
| Paper # | NLC2022-24 | |
| Date of Issue | 2023-03-11 (NLC) | |
| ISSN | 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 | NLC2022-24 |
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| Conference Information | |
| Committee | NLC IPSJ-NL |
| Conference Date | 2023-03-18 - 2023-03-18 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | OIST |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Applications of natural language processing, and etc. |
| Paper Information | |
| Registration To | NLC |
| Conference Code | 2023-03-NLC-NL |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Detection of Parkinson's disease patients from interview data using pre-trained language models |
| Sub Title (in English) | |
| Keyword(1) | Parkinson’s disease |
| Keyword(2) | pre-trained language models |
| Keyword(3) | text classification |
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| 1st Author's Name | Aiichiro Hayatsu |
| 1st Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 2nd Author's Name | Ryohei Sasano |
| 2nd Author's Affiliation | Nagoya University (Nagoya Univ.) |
| 3rd Author's Name | Koichi Takeda |
| 3rd Author's Affiliation | Nagoya University (Nagoya Univ.) |
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| Speaker | Author-1 |
| Date Time | 2023-03-18 11:45:00 |
| Presentation Time | 20 minutes |
| Registration for | NLC |
| Paper # | NLC2022-24 |
| Volume (vol) | vol.122 |
| Number (no) | no.449 |
| Page | pp.28-31 |
| #Pages | 4 |
| Date of Issue | 2023-03-11 (NLC) |
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