Cardiovascular Diseases Risk Analysis using Distance-Based Similarity Measure of Neutrosophic Sets

Authors

  • Norzieha Mustapha Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan
  • Suriana Alias Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan
  • Roliza Md Yasin Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA Kelantan
  • Ilyani Abdullah Faculty of Ocean Engineering Technology and Informatics, Universiti Malaysia Terengganu
  • Said Broumi Laboratory of Information Processing, Faculty of Science Ben M’Sik, University Hassan II

Keywords:

Cardiovascular Disease, Distance Based, Neutrosophic Set, Similarity Measure

Abstract

One of the highest causes of death in many countries in this modern era is cardiovascular diseases. There are a few symptoms that linked significantly to the cardiovascular diseases. The symptoms and diseases relationship can be represented by neutrosophic set values. In general, neutrosophic set gives remarkable contribution in denoising, clustering, segmentation, and
classification in handling data of many real applications including in medical field. This study aims to analyse the cardiovascular disease risks by a new distance-based similarity measure motivated from intuitionistic fuzzy set theory. The proof for all the properties is presented clearly. Then, a case study is conducted by using the data on the severity level of the six symptoms found in two different patients. The neutrosophic data are analysed to determine the patients’ possibility of having any one or combination of the three types of cardiovascular diseases. A comparative study involving three common distance measures is conducted. The results show that the similarity indexes for all measures of both patients are less than 0.5. This situation can further conclude as both patients are possibly not suffering from cardiovascular diseases.

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Published

2022-01-06

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Mustapha, N. ., Alias, S. ., Md Yasin, R. ., Abdullah, I. ., & Broumi, S. . (2022). Cardiovascular Diseases Risk Analysis using Distance-Based Similarity Measure of Neutrosophic Sets. Neutrosophic Sets and Systems, 47, 26-37. https://fs.unm.edu/nss8/index.php/111/article/view/1985

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