Rating and comparison of well-known cardiovascular risk factors in kermanian male patients using fuzzy linear regression
File version
Version of Record (VoR)
Author(s)
Moazenzadeh, M
Rashidinejad, A
Bahrampour, A
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
Size
File type(s)
Location
Abstract
Background: Cardiovascular diseases are still among the most important causes of death in different countries. There are several risk factors for the onset of this disease. The rating of these risk factors is very important for informing the community and planning for the future. Methods: Linear regression is one of the classic statistical methods that has many applications in medical sciences. When dealing with fuzzy data, it is not possible to use linear regression. The use of angiography to estimate the extent of congestion is associated with an estimate of more or less stenosis and the increase of atherosclerosis. Hence, this variable has been considered as a fuzzy variable. Fuzzy linear regression (FLR) was used to rank and compare the known risk factors for coronary artery occlusion. Results: After analyzing the data by least squares FLR, the most important risk factors included Family history, history of diabetes, age, history of hypercholesterolemia, history of cigarette smoking, Body Mass Index and history of hypertension respectively. Conclusion: When it is not possible to calculate the response variable or one of the independent variables examined in the model accurately, FLR, or to be more precise, regression in fuzzy environment can be a good alternative for conventional regression analysis.
Journal Title
Journal of Kerman University of Medical Sciences
Conference Title
Book Title
Edition
Volume
28
Issue
2
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
© The Author(s) 2021. This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Item Access Status
Note
Access the data
Related item(s)
Subject
Cardiology (incl. cardiovascular diseases)
Biomedical and clinical sciences
Persistent link to this record
Citation
Gohari, MA; Moazenzadeh, M; Rashidinejad, A; Bahrampour, A, Rating and comparison of well-known cardiovascular risk factors in kermanian male patients using fuzzy linear regression, Journal of Kerman University of Medical Sciences, 2021, 28 (2), pp. 150-156