Show simple item record

dc.contributor.authorGohari, MA
dc.contributor.authorMoazenzadeh, M
dc.contributor.authorRashidinejad, A
dc.contributor.authorBahrampour, A
dc.date.accessioned2021-05-28T00:49:02Z
dc.date.available2021-05-28T00:49:02Z
dc.date.issued2021
dc.identifier.issn1023-9510
dc.identifier.doi10.22062/JKMU.2021.91610
dc.identifier.urihttp://hdl.handle.net/10072/404725
dc.description.abstractBackground: 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.
dc.description.peerreviewedYes
dc.publisherKerman University of Medical Sciences
dc.publisher.urihttp://jkmu.kmu.ac.ir/article_91610.html
dc.relation.ispartofpagefrom150
dc.relation.ispartofpageto156
dc.relation.ispartofissue2
dc.relation.ispartofjournalJournal of Kerman University of Medical Sciences
dc.relation.ispartofvolume28
dc.subject.fieldofresearchCardiology (incl. cardiovascular diseases)
dc.subject.fieldofresearchBiomedical and clinical sciences
dc.subject.fieldofresearchcode320101
dc.subject.fieldofresearchcode32
dc.titleRating and comparison of well-known cardiovascular risk factors in kermanian male patients using fuzzy linear regression
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationGohari, 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
dcterms.licensehttps://creativecommons.org/licenses/by/4.0/
dc.date.updated2021-05-27T22:31:52Z
dc.description.versionVersion of Record (VoR)
gro.rights.copyright© 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.
gro.hasfulltextFull Text
gro.griffith.authorBahrampour, Abbas


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record