International Journal of Academic Information Systems Research (IJAISR)   Year: 2020 | Volume: 4 | Issue: 10 | Page No.: 1-8 Breast Cancer Prediction using JNN Mohammed Abdul Hay Abu Bakr, Haitham Maher Al-Attar, Nader Kamal Mahra, Samy S. Abu-Naser Abstract: Breast Cancer is mostly identified amongst women and is a main reason for increasing the rate of mortality amongst women. Diagnosis of breast cancer takes time and due to the importance of the topic, it is necessary to develop a system that can automatically diagnose breast cancer in its early stages. Many Machine Learning Algorithms have been used for the detection breast cancer. The Wisconsin Breast Cancer Dataset has been used which contains 699 samples and 10 features. The paper propos an Artificial Neural Network model that is implemented using Just Neural Networks (JNN) using the dataset which is collected from UCI machine learning repository. The proposed model has been trained and validated. The accuracy rate obtained from the proposed ANN model was 99.57%.