Intelligent Medical Interactive Educational System for Cardiovascular Disease

Sheng Shan Chen; Hou Tsan Lee; Tun Wen Pai; Chao Hung Wang

doi:10.1007/978-3-031-08530-7_9

Intelligent Medical Interactive Educational System for Cardiovascular Disease

Sheng Shan Chen
, Hou Tsan Lee
, Tun Wen Pai^*
, Chao Hung Wang

^*Corresponding author for this work

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Cardiovascular disease is the number one killer of global deaths, accounting for 30% of total deaths every year. To arouse the public’s attention to cardiovascular health, it is bound to provide sufficient education materials for cardiovascular patients to improve health and reduce medical costs. Currently, there is no systematic and patient orientated guidelines in Chinese regarding cardiovascular diseases. Therefore, this research proposed a smart medical interactive education system based on natural language processing and chatbot intelligence. We adopted Line Bot chat mode to provide pertinent medical knowledge for patients. All medical media are designed based on patient-oriented mechanisms. The Patient Educational Material Evaluation Tool (PEMAT) was applied to evaluate the quality of medical documents and video clips. In addition, relationship among various media elements were constructed based on collected keywords to ensure those messages not correctly processed through natural language processing could be successfully converted into a single response by text mining techniques. This research is the first constructive and intelligent interactive education chatbot system for patients with cardiovascular diseases.

Original language	English
Title of host publication	Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings
Editors	Hamido Fujita, Philippe Fournier-Viger, Moonis Ali, Yinglin Wang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	101-111
Number of pages	11
ISBN (Print)	9783031085291
DOIs	https://doi.org/10.1007/978-3-031-08530-7_9
State	Published - 2022
Event	35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022 - Kitakyushu, Japan Duration: 19 07 2022 → 22 07 2022

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13343 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022
Country/Territory	Japan
City	Kitakyushu
Period	19/07/22 → 22/07/22

Bibliographical note

Publisher Copyright:
© 2022, Springer Nature Switzerland AG.

Keywords

Cardiovascular disease
Information retrieval
Line bot
Medical interaction
NLP

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-031-08530-7_9

Cite this

Chen, S. S., Lee, H. T., Pai, T. W., & Wang, C. H. (2022). Intelligent Medical Interactive Educational System for Cardiovascular Disease. In H. Fujita, P. Fournier-Viger, M. Ali, & Y. Wang (Eds.), Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings (pp. 101-111). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13343 LNAI). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-08530-7_9

Chen, Sheng Shan ; Lee, Hou Tsan ; Pai, Tun Wen et al. / Intelligent Medical Interactive Educational System for Cardiovascular Disease. Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings. editor / Hamido Fujita ; Philippe Fournier-Viger ; Moonis Ali ; Yinglin Wang. Springer Science and Business Media Deutschland GmbH, 2022. pp. 101-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{321d017f73694d39a5e87c4894dade3d,

title = "Intelligent Medical Interactive Educational System for Cardiovascular Disease",

abstract = "Cardiovascular disease is the number one killer of global deaths, accounting for 30\% of total deaths every year. To arouse the public{\textquoteright}s attention to cardiovascular health, it is bound to provide sufficient education materials for cardiovascular patients to improve health and reduce medical costs. Currently, there is no systematic and patient orientated guidelines in Chinese regarding cardiovascular diseases. Therefore, this research proposed a smart medical interactive education system based on natural language processing and chatbot intelligence. We adopted Line Bot chat mode to provide pertinent medical knowledge for patients. All medical media are designed based on patient-oriented mechanisms. The Patient Educational Material Evaluation Tool (PEMAT) was applied to evaluate the quality of medical documents and video clips. In addition, relationship among various media elements were constructed based on collected keywords to ensure those messages not correctly processed through natural language processing could be successfully converted into a single response by text mining techniques. This research is the first constructive and intelligent interactive education chatbot system for patients with cardiovascular diseases.",

keywords = "Cardiovascular disease, Information retrieval, Line bot, Medical interaction, NLP",

author = "Chen, \{Sheng Shan\} and Lee, \{Hou Tsan\} and Pai, \{Tun Wen\} and Wang, \{Chao Hung\}",

note = "Publisher Copyright: {\textcopyright} 2022, Springer Nature Switzerland AG.; 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022 ; Conference date: 19-07-2022 Through 22-07-2022",

year = "2022",

doi = "10.1007/978-3-031-08530-7\_9",

language = "英语",

isbn = "9783031085291",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "101--111",

editor = "Hamido Fujita and Philippe Fournier-Viger and Moonis Ali and Yinglin Wang",

booktitle = "Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings",

address = "德国",

}

Chen, SS, Lee, HT, Pai, TW & Wang, CH 2022, Intelligent Medical Interactive Educational System for Cardiovascular Disease. in H Fujita, P Fournier-Viger, M Ali & Y Wang (eds), Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13343 LNAI, Springer Science and Business Media Deutschland GmbH, pp. 101-111, 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Kitakyushu, Japan, 19/07/22. https://doi.org/10.1007/978-3-031-08530-7_9

Intelligent Medical Interactive Educational System for Cardiovascular Disease. / Chen, Sheng Shan; Lee, Hou Tsan; Pai, Tun Wen et al.
Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings. ed. / Hamido Fujita; Philippe Fournier-Viger; Moonis Ali; Yinglin Wang. Springer Science and Business Media Deutschland GmbH, 2022. p. 101-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13343 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Intelligent Medical Interactive Educational System for Cardiovascular Disease

AU - Chen, Sheng Shan

AU - Lee, Hou Tsan

AU - Pai, Tun Wen

AU - Wang, Chao Hung

PY - 2022

Y1 - 2022

N2 - Cardiovascular disease is the number one killer of global deaths, accounting for 30% of total deaths every year. To arouse the public’s attention to cardiovascular health, it is bound to provide sufficient education materials for cardiovascular patients to improve health and reduce medical costs. Currently, there is no systematic and patient orientated guidelines in Chinese regarding cardiovascular diseases. Therefore, this research proposed a smart medical interactive education system based on natural language processing and chatbot intelligence. We adopted Line Bot chat mode to provide pertinent medical knowledge for patients. All medical media are designed based on patient-oriented mechanisms. The Patient Educational Material Evaluation Tool (PEMAT) was applied to evaluate the quality of medical documents and video clips. In addition, relationship among various media elements were constructed based on collected keywords to ensure those messages not correctly processed through natural language processing could be successfully converted into a single response by text mining techniques. This research is the first constructive and intelligent interactive education chatbot system for patients with cardiovascular diseases.

AB - Cardiovascular disease is the number one killer of global deaths, accounting for 30% of total deaths every year. To arouse the public’s attention to cardiovascular health, it is bound to provide sufficient education materials for cardiovascular patients to improve health and reduce medical costs. Currently, there is no systematic and patient orientated guidelines in Chinese regarding cardiovascular diseases. Therefore, this research proposed a smart medical interactive education system based on natural language processing and chatbot intelligence. We adopted Line Bot chat mode to provide pertinent medical knowledge for patients. All medical media are designed based on patient-oriented mechanisms. The Patient Educational Material Evaluation Tool (PEMAT) was applied to evaluate the quality of medical documents and video clips. In addition, relationship among various media elements were constructed based on collected keywords to ensure those messages not correctly processed through natural language processing could be successfully converted into a single response by text mining techniques. This research is the first constructive and intelligent interactive education chatbot system for patients with cardiovascular diseases.

KW - Cardiovascular disease

KW - Information retrieval

KW - Line bot

KW - Medical interaction

KW - NLP

UR - https://www.scopus.com/pages/publications/85138007362

U2 - 10.1007/978-3-031-08530-7_9

DO - 10.1007/978-3-031-08530-7_9

M3 - 会议稿件

AN - SCOPUS:85138007362

SN - 9783031085291

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 101

EP - 111

BT - Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings

A2 - Fujita, Hamido

A2 - Fournier-Viger, Philippe

A2 - Ali, Moonis

A2 - Wang, Yinglin

PB - Springer Science and Business Media Deutschland GmbH

T2 - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022

Y2 - 19 July 2022 through 22 July 2022

ER -

Chen SS, Lee HT, Pai TW, Wang CH. Intelligent Medical Interactive Educational System for Cardiovascular Disease. In Fujita H, Fournier-Viger P, Ali M, Wang Y, editors, Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence - 35th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2022. p. 101-111. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-08530-7_9

Intelligent Medical Interactive Educational System for Cardiovascular Disease

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this