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Paper Abstract and Keywords
Presentation 2024-03-15 10:55
Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data
Tatsunoshin Shinmi (The Univ. of Electro-Communications), Naoya Tokiwa (RAKUS Partners), Junichi Shibata, Toshikazu Suzuki (iD), Takehiko Kashiwagi (The Univ. of Electro-Communications), Tatsuya Moe (RAKUS Partners), Kaito Kamura, Hyuta Onuma, Shunichi Tano, Yasuhiro Minami (The Univ. of Electro-Communications) MICT2023-79
Abstract (in Japanese) (See Japanese page) 
(in English) Behavioral and psychological symptoms of dementia (BPSD) that develop in patients with dementia not only impose a heavy burden on caregivers, but also affect the quality of life of the patients themselves. If BPSD can be predicted in advance and symptoms can be dealt with, the burden on caregivers can be reduced. In a preliminary experiment, we predicted BPSD using machine learning based on environmental and vital sensor data collected from multiple nursing homes. However, the Average Precision of the PR curve is still low. In this study, we analyzed data to improve the accuracy of BPSD prediction.The data analysis confirms that certain symptoms have a 24-hour cycle. The results show the possibility of predicting the onset of BPSD using machine learning methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Dementia / BPSD / Sleep / Periodicity / Machine learning / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 446, MICT2023-79, pp. 12-16, March 2024.
Paper # MICT2023-79 
Date of Issue 2024-03-08 (MICT) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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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Conference Information
Committee EMCJ MICT  
Conference Date 2024-03-15 - 2024-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To MICT 
Conference Code 2024-03-EMCJ-MICT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis of BPSD onset time to improve BPSD prediction performance with environmental and vital sensor data 
Sub Title (in English)  
Keyword(1) Dementia  
Keyword(2) BPSD  
Keyword(3) Sleep  
Keyword(4) Periodicity  
Keyword(5) Machine learning  
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1st Author's Name Tatsunoshin Shinmi  
1st Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
2nd Author's Name Naoya Tokiwa  
2nd Author's Affiliation RAKUS Partners Co. (RAKUS Partners)
3rd Author's Name Junichi Shibata  
3rd Author's Affiliation iD Corporation (iD)
4th Author's Name Toshikazu Suzuki  
4th Author's Affiliation iD Corporation (iD)
5th Author's Name Takehiko Kashiwagi  
5th Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
6th Author's Name Tatsuya Moe  
6th Author's Affiliation RAKUS Partners Co. (RAKUS Partners)
7th Author's Name Kaito Kamura  
7th Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
8th Author's Name Hyuta Onuma  
8th Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
9th Author's Name Shunichi Tano  
9th Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
10th Author's Name Yasuhiro Minami  
10th Author's Affiliation The University of Electro-Communications (The Univ. of Electro-Communications)
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Speaker Author-1 
Date Time 2024-03-15 10:55:00 
Presentation Time 25 minutes 
Registration for MICT 
Paper # MICT2023-79 
Volume (vol) vol.123 
Number (no) no.446 
Page pp.12-16 
#Pages
Date of Issue 2024-03-08 (MICT) 


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