Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer
المؤلفون المشاركون
Mihrdad, Nida
Afshar, Hadi Lotfnezhad
Olfatbakhsh, Asiie
Sadoughi, Farahnaz
المصدر
Iranian Red Crescent Medical Journal
العدد
المجلد 18، العدد 3 (31 مارس/آذار 2016)، ص ص. 1-8، 8ص.
الناشر
تاريخ النشر
2016-03-31
دولة النشر
الإمارات العربية المتحدة
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Background: Advances in treatment options of breast cancer and development of cancer research centers have necessitated the collection of many variables about breast cancer patients.
Detection of important variables as predictors and outcomes among them, without applying an appropriate statistical method is a very challenging task.
Because of recurrent nature of breast cancer occurring in different time intervals, there are usually more than one variable in the outcome set.
For the prevention of this problem that causes multicollinearity, a statistical method named canonical correlation analysis (CCA) is a good solution.
Objectives: The purpose of this study was to analyze the data related to breast cancer recurrence of Iranian females using the CCA method to determine important risk factors.
Patients and Methods: In this cross-sectional study, data of 584 female patients (mean age of 45.9 years) referred to Breast Cancer Research Center (Tehran, Iran) were analyzed anonymously.
SPSS and NORM softwares (2.03) were used for data transformation, running and interpretation of CCA and replacing missing values, respectively.
Data were obtained from Breast Cancer Research Center, Tehran, Iran.
Results: Analysis showed seven important predictors resulting in breast cancer recurrence in different time periods.
Family history and loco-regional recurrence more than 5 years after diagnosis were the most important variables among predictors and outcomes sets, respectively.
Conclusions: Canonical correlation analysis can be used as a useful tool for management and preparing of medical data for discovering of knowledge hidden in them.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Sadoughi, Farahnaz& Afshar, Hadi Lotfnezhad& Olfatbakhsh, Asiie& Mihrdad, Nida. 2016. Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer. Iranian Red Crescent Medical Journal،Vol. 18, no. 3, pp.1-8.
https://search.emarefa.net/detail/BIM-679256
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Sadoughi, Farahnaz…[et al.]. Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer. Iranian Red Crescent Medical Journal Vol. 18, no. 3 (Mar. 2016), pp.1-8.
https://search.emarefa.net/detail/BIM-679256
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Sadoughi, Farahnaz& Afshar, Hadi Lotfnezhad& Olfatbakhsh, Asiie& Mihrdad, Nida. Application of canonical correlation analysis for detecting risk factors leading to recurrence of breast cancer. Iranian Red Crescent Medical Journal. 2016. Vol. 18, no. 3, pp.1-8.
https://search.emarefa.net/detail/BIM-679256
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 7-8
رقم السجل
BIM-679256
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر