Development of Intelligent Breast Cancer Prediction using Extreme Learning Machine in Java

Breast cancer is second cause of death for women which its risk can be minimized by accurate early detection and appropriate treatment. A lot of data mining techniques have been developed to support breast cancer diagnosis. However, the existing works mostly focus on prediction performance with limited attention with medical professional as end user and applicability aspect in real medical setting. In this paper, we designed and developed intelligent breast cancer prediction in Java called Breast Cancer Clinical Decision Support Systems. The systems has intuitive graphical user interface with eleven functionalities based on discussion with domain expert. Extreme learning machine was utilized as main intelligent component for predicting benign and malignant. Results showed that all functionalities were work well and done without significant delay. The accuracy performance outperformed average manual diagnosis from unaided medical professional. These showed that the proposed system is promising to be applied in the real medical setting to support breast cancer early detection.