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Fuzzy DEMATEL Approach to Identify the Modifiable Risk Factors of Cardiovascular Disease

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Micro-Electronics and Telecommunication Engineering

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 617))

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Abstract

Cardiovascular disease is the world’s most lethal non-communicable disease. Cardiovascular disease killed approximately 17.9 million people in 2019, taking account for 81% of all deaths in developing countries. Every disease has a risk factor, which also plays a vital role in disease diagnosis in early stage; by identifying and emphasizing the most significant risk factor, death rates can be reduced. As a result, to identify the most significant cardiovascular disease risk factors, this present study employs a fuzzy decision-making trial and evaluation laboratory (Fuzzy DEMATEL) approach with a trapezoidal fuzzy number. At first, 13 risk factors are chosen and classified as modifiable or non-modifiable. According to the findings of this study, modifiable risk factors like total cholesterol, blood pressure, body mass index, and diabetes are influenced by lifestyle factors such as smoking, exercise, food, stress, and alcohol consumption. Finally, the results are validated by comparing proposed method with classical DEMATEL method.

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Authors and Affiliations

  1. Mathematics Division, School of Advanced Sciences, Vellore Institute of Technology, Chennai Campus, Chennai, TN, 600127, India

    M. Stephen & A. Felix

Authors
  1. M. Stephen
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  2. A. Felix
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Corresponding author

Correspondence to A. Felix .

Editor information

Editors and Affiliations

  1. SRM Institute of Science and Technology, Ghaziabad, India

    Devendra Kumar Sharma

  2. National Taipei University of Business, Hualien, Taiwan

    Sheng-Lung Peng

  3. SRM Institute of Science and Technology, Ghaziabad, Uttar Pradesh, India

    Rohit Sharma

  4. Department of Embedded Systems Engineering, College of Information Technology, Incheon National University, Incheon, Korea (Republic of)

    Gwanggil Jeon

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Stephen, M., Felix, A. (2023). Fuzzy DEMATEL Approach to Identify the Modifiable Risk Factors of Cardiovascular Disease. In: Sharma, D.K., Peng, SL., Sharma, R., Jeon, G. (eds) Micro-Electronics and Telecommunication Engineering . Lecture Notes in Networks and Systems, vol 617. Springer, Singapore. https://doi.org/10.1007/978-981-19-9512-5_51

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  • DOI: https://doi.org/10.1007/978-981-19-9512-5_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-9511-8

  • Online ISBN: 978-981-19-9512-5

  • eBook Packages: EngineeringEngineering (R0)

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