IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2023-03-14 17:10
Exploring AI learning Infrastructure at a Healtlcare University
Ryoka Seto, Koji Ono, Misako Kitae, Kazuya Imaizumi (THCU) ET2022-77
Abstract (in Japanese) (See Japanese page) 
(in English) Tokyo Healthcare University is an health university in the health field that trains professionals in nursing, nutrition, and information technology. Education in data science is important because the university's philosophy is to develop human resources who can solve social issues from new perspectives in the 21st century, when the knowledge society is realized. On the other hand, because time is allocated to specialized education for the medical profession, classes involving the use of open data and AI exercises are not sufficient. Therefore, we conducted a syllabus comparison with similar universities to sort out the issues. The results showed that AI education at universities in the health field mainly consists of compulsory liberal arts courses such as data science and information literacy, and elective specialized courses such as medical informatics. In both cases, there are few examples of education using actual health data, suggesting the need to improve the infrastructure for training.
Keyword (in Japanese) (See Japanese page) 
(in English) Data Science / Health Informatics / AI Education / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 431, ET2022-77, pp. 113-116, March 2023.
Paper # ET2022-77 
Date of Issue 2023-03-07 (ET) 
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 ET2022-77

Conference Information
Committee ET  
Conference Date 2023-03-14 - 2023-03-15 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokushima University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) AI Education Design, etc. 
Paper Information
Registration To ET 
Conference Code 2023-03-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Exploring AI learning Infrastructure at a Healtlcare University 
Sub Title (in English)  
Keyword(1) Data Science  
Keyword(2) Health Informatics  
Keyword(3) AI Education  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Ryoka Seto  
1st Author's Affiliation Tokyo Healthcare University (THCU)
2nd Author's Name Koji Ono  
2nd Author's Affiliation Tokyo Healthcare University (THCU)
3rd Author's Name Misako Kitae  
3rd Author's Affiliation Tokyo Healthcare University (THCU)
4th Author's Name Kazuya Imaizumi  
4th Author's Affiliation Tokyo Healthcare University (THCU)
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2023-03-14 17:10:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2022-77 
Volume (vol) vol.122 
Number (no) no.431 
Page pp.113-116 
#Pages
Date of Issue 2023-03-07 (ET) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan