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Paper Abstract and Keywords
Presentation 2024-01-19 11:10
Estimation of the number of people transported by ambulance for different illness in Nagoya City
Haruto Ueta, Kota Ogawa, Sachiko Kodera, Akimasa Hirata (Nitech) EMCJ2023-91
Abstract (in Japanese) (See Japanese page) 
(in English) In Japan, there has been a rapid progression of aging, giving rise to various anticipated challenges. A high proportion of the number of ambulance dispatches is attributable to the older population. Thus, with the progress of aging, the demand for emergency medical care is expected to increase, and countermeasures that make effective use of limited medical resources are needed. In this study, we propose an estimation model of the daily number of ambulance dispatches using deep learning with the data provided by the Nagoya City Fire Department. First, we investigated the correlation between the number of ambulance dispatches and environmental and social factors. The results showed that the variations in the trends of the number of transported population based on different types of disease, with differences between the older and young groups. The proposed prediction model using deep learning for yielded an estimation accuracy with an error of 7.7±0.3 %.
Keyword (in Japanese) (See Japanese page) 
(in English) projection of emergency transport / aging society / emergency squads / deep learning / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 346, EMCJ2023-91, pp. 21-26, Jan. 2024.
Paper # EMCJ2023-91 
Date of Issue 2024-01-12 (EMCJ) 
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)
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Conference Information
Committee EMCJ  
Conference Date 2024-01-19 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To EMCJ 
Conference Code 2024-01-EMCJ 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of the number of people transported by ambulance for different illness in Nagoya City 
Sub Title (in English)  
Keyword(1) projection of emergency transport  
Keyword(2) aging society  
Keyword(3) emergency squads  
Keyword(4) deep learning  
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Keyword(6)  
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1st Author's Name Haruto Ueta  
1st Author's Affiliation Nagoya Institute of Technology (Nitech)
2nd Author's Name Kota Ogawa  
2nd Author's Affiliation Nagoya Institute of Technology (Nitech)
3rd Author's Name Sachiko Kodera  
3rd Author's Affiliation Nagoya Institute of Technology (Nitech)
4th Author's Name Akimasa Hirata  
4th Author's Affiliation Nagoya Institute of Technology (Nitech)
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Speaker Author-1 
Date Time 2024-01-19 11:10:00 
Presentation Time 20 minutes 
Registration for EMCJ 
Paper # EMCJ2023-91 
Volume (vol) vol.123 
Number (no) no.346 
Page pp.21-26 
#Pages 6 
Date of Issue 2024-01-12 (EMCJ) 

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