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Data Mining Technology Combined with Out-of-Hospital Cardiac Arrest, Symptom Association and Prediction Model Probing

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Frontier Computing (FC 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 464))

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Abstract

Since the first ambulance has been introduced to Taiwan, the members of fire departments have been dedicating themselves to emergency service training. Though all the emergency rescue measures have been improved, the causes and problems of Out-of Hospital-cardiac Arrest (OHCA) caused are still actively being explored by the experts from emergency medicine. The main causes of Out-of-Hospital Cardiac Arrest are classified into two categories: medical causes and surgical causes, the later ones mainly caused by car accidents or falls. There are some chronic disease such as heart disease (myoeardial infaracriton), chronic kidney disease, and diabetes are highly associated with Out-of-Hospital-Cardiac Arrest medical causes (Patel et al. 2014). However, in Taiwan, heart disease, hypertension, and diabetes mellitus are recognized as the three main medical causes for Out-of-Hospital-Cardiac Arrest.

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Author information

Authors and Affiliations

  1. Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan

    Chih-Chun Chang & Chien-Yeh Hsu

  2. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

    Jui-Hung Kao

  3. Computer Center, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan

    Jui-Hung Kao

  4. Department of Information Management, Shih Hsin University, Taipei, Taiwan

    Homg-Twu Liaw & Tse-Chun Wang

Authors
  1. Chih-Chun Chang
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  2. Jui-Hung Kao
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  3. Chien-Yeh Hsu
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  4. Homg-Twu Liaw
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  5. Tse-Chun Wang
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Corresponding author

Correspondence to Jui-Hung Kao .

Editor information

Editors and Affiliations

  1. Department of Information Technology, Overseas Chinese University, Taichung, Taiwan

    Jason C. Hung

  2. School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Japan

    Neil Y. Yen

  3. Department of Innovative Information and Technology, Tamkang University, Yilan County, Taiwan

    Lin Hui

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Chang, CC., Kao, JH., Hsu, CY., Liaw, HT., Wang, TC. (2018). Data Mining Technology Combined with Out-of-Hospital Cardiac Arrest, Symptom Association and Prediction Model Probing. In: Hung, J., Yen, N., Hui, L. (eds) Frontier Computing. FC 2017. Lecture Notes in Electrical Engineering, vol 464. Springer, Singapore. https://doi.org/10.1007/978-981-10-7398-4_31

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  • DOI: https://doi.org/10.1007/978-981-10-7398-4_31

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7397-7

  • Online ISBN: 978-981-10-7398-4

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