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

Norzieha  Mustapha; Suriana  Alias; Roliza  Md Yasin; Ilyani  Abdullah; Said  Broumi

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 Mâ€™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 patientsâ€™ 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.