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dc.contributor.authorNikbakht, Roya
dc.contributor.authorBahrampour, Abbas
dc.date.accessioned2021-08-16T01:43:04Z
dc.date.available2021-08-16T01:43:04Z
dc.date.issued2017
dc.identifier.issn1735-1995
dc.identifier.doi10.4103/jrms.JRMS_405_17
dc.identifier.urihttp://hdl.handle.net/10072/406883
dc.description.abstractBackground: Fuzzy logistic regression model can be used for determining influential factors of disease. This study explores the important factors of actual predictive survival factors of breast cancer’s patients. Materials and Methods: We used breast cancer data which collected by cancer registry of Kerman University of Medical Sciences during the period of 2000–2007. The variables such as morphology, grade, age, and treatments (surgery, radiotherapy, and chemotherapy) were applied in the fuzzy logistic regression model. Performance of model was determined in terms of mean degree of membership (MDM). Results: The study results showed that almost 41% of patients were in neoplasm and malignant group and more than two-third of them were still alive after 5-year follow-up. Based on the fuzzy logistic model, the most important factors influencing survival were chemotherapy, morphology, and radiotherapy, respectively. Furthermore, the MDM criteria show that the fuzzy logistic regression have a good fit on the data (MDM = 0.86). Conclusion: Fuzzy logistic regression model showed that chemotherapy is more important than radiotherapy in survival of patients with breast cancer. In addition, another ability of this model is calculating possibilistic odds of survival in cancer patients. The results of this study can be applied in clinical research. Furthermore, there are few studies which applied the fuzzy logistic models. Furthermore, we recommend using this model in various research areas.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherWOLTERS KLUWER MEDKNOW PUBLICATIONS
dc.relation.ispartofjournalJournal of Research in Medical Sciences
dc.relation.ispartofvolume22
dc.subject.fieldofresearchBiomedical and clinical sciences
dc.subject.fieldofresearchcode32
dc.subject.keywordsScience & Technology
dc.subject.keywordsLife Sciences & Biomedicine
dc.subject.keywordsMedicine, General & Internal
dc.subject.keywordsGeneral & Internal Medicine
dc.subject.keywordsBreast cancer
dc.titleDetermining factors influencing survival of breast cancer by fuzzy logistic regression model
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationNikbakht, R; Bahrampour, A, Determining factors influencing survival of breast cancer by fuzzy logistic regression model, Journal of Research in Medical Sciences, 2017, (12)
dcterms.dateAccepted2017-10-10
dc.date.updated2021-08-16T01:40:00Z
gro.hasfulltextNo Full Text
gro.griffith.authorBahrampour, Abbas


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