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Intelligent Medical Interactive Educational System for Cardiovascular Disease

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Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence (IEA/AIE 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13343))

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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.

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Author information

Authors and Affiliations

  1. Department of Information Engineering, National Taipei University of Technology, Taipei, Taiwan

    Sheng-Shan Chen & Tun-Wen Pai

  2. Department of Information Technology, Takming University of Science and Technology, Taipei, Taiwan

    Hou-Tsan Lee

  3. Department of Computer Science and Engineering, National Taiwan Ocean University, Keelung, Taiwan

    Tun-Wen Pai

  4. Department of Cardiac and Cardiovascular, Keelung Chang Gung Memorial Hospital, Keelung, Taiwan

    Chao-Hung Wang

Authors
  1. Sheng-Shan Chen
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  2. Hou-Tsan Lee
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  3. Tun-Wen Pai
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  4. Chao-Hung Wang
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Corresponding author

Correspondence to Tun-Wen Pai .

Editor information

Editors and Affiliations

  1. i-SOMET, Inc., Morioka-shi, Iwate, Japan

    Hamido Fujita

  2. College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, Guangdong, China

    Philippe Fournier-Viger

  3. Texas State University, San Marcos, TX, USA

    Moonis Ali

  4. Shanghai University of Finance and Economics, Shanghai, China

    Yinglin Wang

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Chen, SS., Lee, HT., Pai, TW., Wang, CH. (2022). Intelligent Medical Interactive Educational System for Cardiovascular Disease. In: Fujita, H., Fournier-Viger, P., Ali, M., Wang, Y. (eds) Advances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence. IEA/AIE 2022. Lecture Notes in Computer Science(), vol 13343. Springer, Cham. https://doi.org/10.1007/978-3-031-08530-7_9

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  • DOI: https://doi.org/10.1007/978-3-031-08530-7_9

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-08529-1

  • Online ISBN: 978-3-031-08530-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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