Breast cancer diagnosis using K-means methodology
Author
Source
Journal of Babylon University : Journal of Applied and Pure Sciences
Issue
Vol. 26, Issue 1 (31 Jan. 2018), pp.9-16, 8 p.
Publisher
Publication Date
2018-01-31
Country of Publication
Iraq
No. of Pages
8
Main Subjects
Abstract 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%.
American Psychological Association (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
Modern Language Association (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
American Medical Association (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
Data Type
Journal Articles
Language
English
Notes
Record ID
BIM-1132760