Evaluating the performance of machine learning techniques in the classification of Wisconsin Breast Cancer

• Main Authors: Obaid, Omar Ibrahim, Mohammed, Mazin Abed, Abd Ghani, Mohd Khanapi, A. Mostafa, Salama, AL-Dhief, Fahad Taha
• Format: Article
• Published: Science Publishing Corporation 2018
• Subjects: QA76 Computer software; RC Internal medicine; T Technology (General); T58.6-58.62 Management information systems
• Online Access: http://eprints.uthm.edu.my/5144/

Breast cancer is a considerable problem among the women and causes death around the world. This disease can be detected by distinguishing malignant and benign tumors. Hence, doctors require trustworthy diagnosing process in order to differentiate between malignant and benign tumors. Therefore, the a...