Breast cancer diagnosis using K-means methodology

المؤلف

Ayyub, Nur Kazim

المصدر

Journal of Babylon University : Journal of Applied and Pure Sciences

العدد

المجلد 26، العدد 1 (31 يناير/كانون الثاني 2018)، ص ص. 9-16، 8ص.

الناشر

جامعة بابل

تاريخ النشر

2018-01-31

دولة النشر

العراق

عدد الصفحات

8

التخصصات الرئيسية

الطب البشري

الملخص EN

After lung cancer, breast cancer is the second cause of death among women.

Due to the seriousness of the disease, research has stepped up to help diagnose this disease by providing medical personnel with a classification based computer systems that determine whether the patient is infected.

This research focuses on the use method (K-means) for the diagnosis of breast cancer based on a global database known as (WBCD) dedicated to this purpose.

The proposed method has proved its effectiveness in classification and the accuracy of the system is equal to 96.4861%.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Ayyub, Nur Kazim. 2018. Breast cancer diagnosis using K-means methodology. Journal of Babylon University : Journal of Applied and Pure Sciences،Vol. 26, no. 1, pp.9-16.
https://search.emarefa.net/detail/BIM-1132760

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Ayyub, Nur Kazim. Breast cancer diagnosis using K-means methodology. Journal of Babylon University : Journal of Applied and Pure Sciences Vol. 26, no. 1 (2018), pp.9-16.
https://search.emarefa.net/detail/BIM-1132760

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Ayyub, Nur Kazim. Breast cancer diagnosis using K-means methodology. Journal of Babylon University : Journal of Applied and Pure Sciences. 2018. Vol. 26, no. 1, pp.9-16.
https://search.emarefa.net/detail/BIM-1132760

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

رقم السجل

BIM-1132760