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Optimization of Network Mapping for Screening and Intrusion Sensing Devices Read chapter Read first chapter

2024 | OriginalPaper | Chapter

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

Authors : Himanshu Dhumras, Rakesh Kumar Bajaj, Gaurav Garg

Published in: Cryptology and Network Security with Machine Learning

Publisher: Springer Nature Singapore

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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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previous chapter Sensor Node Design Optimization Methods for Enhanced Energy Efficiency in Wireless Sensor Networks
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Metadata
Title
On Assessment of Risk Factors for Cardiovascular Disease Complexities Utilizing q-Rung Picture Fuzzy Multi-criteria Decision-Making Approach
Authors
Himanshu Dhumras
Rakesh Kumar Bajaj
Gaurav Garg
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Cryptology and Network Security with Machine Learning

Print ISBN: 978-981-9706-40-2

Electronic ISBN: 978-981-9706-41-9

Copyright Year: 2024

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