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On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach

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Cryptology and Network Security with Machine Learning (ICCNSML 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 918))

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Abstract

Cardiovascular issues have now become the most common reason for the mortality of diabetic and hypertensive patients. Evaluating various risk factors for cardiovascular complexities has become significantly important for the prevention of these issues. Many medical professionals make cardiovascular complications diagnoses on the basis of prior information and data related to various decision parameters. The manuscript provides a methodology for the assessment of risk measures for cardiovascular complexities with the incorporation of the q-rung picture fuzzy decision-making technique. A new methodology involving the q-rung picture fuzzy set up has been proposed and implemented in the diagnoses of cardiovascular complexities. The assessment of risk factors has been done on the basis of proposed methodology for the betterment of the patients.

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Acknowledgements

We do acknowledge our gratitude to the reviewers for giving their valuable comments and suggestions for the improvement of the manuscript.

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Authors and Affiliations

  1. Jaypee University of Information Technology, Waknaghat, Solan, Himachal Pradesh, 173234, India

    Himanshu Dhumras & Rakesh Kumar Bajaj

  2. Department of Decision Sciences, IIM Lucknow (Noida Campus), Noida, U.P., 201309, India

    Gaurav Garg

Authors
  1. Himanshu Dhumras
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  2. Rakesh Kumar Bajaj
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  3. Gaurav Garg
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Corresponding author

Correspondence to Rakesh Kumar Bajaj .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Pranveer Singh Institute of Technology, Kanpur, India

    Atul Chaturvedi

  2. Department of Mathematics, Indian Institute of Technology Jammu, Jammu, India

    Sartaj Ul Hasan

  3. Applied Statistics Unit, Indian Statistical Institute, Kolkata, India

    Bimal Kumar Roy

  4. Department of Mathematics, Bar-Ilan University, Ramat-Gan, Israel

    Boaz Tsaban

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Conflict of interest: The authors declare no competing interests.

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Dhumras, H., Bajaj, R.K., Garg, G. (2024). On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach. In: Chaturvedi, A., Hasan, S.U., Roy, B.K., Tsaban, B. (eds) Cryptology and Network Security with Machine Learning. ICCNSML 2023. Lecture Notes in Networks and Systems, vol 918. Springer, Singapore. https://doi.org/10.1007/978-981-97-0641-9_16

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  • DOI: https://doi.org/10.1007/978-981-97-0641-9_16

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0640-2

  • Online ISBN: 978-981-97-0641-9

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