E-model for Early Detection of Breast Cancer and Patient Monitoring

Breast cancer is becoming one of the most common diseases among women and is a growing global concern. A significant number of women have died worldwide from breast cancer. Studies suggest that early detection gives one better chance at treatment and management. However, the major challenges in early detection of breast cancer are awareness issues and patients’ insensitivity about the disease. This implies that regular breast examination leads to early detection of signs and symptoms of breast cancer. This exercise has been challenged with awareness, improper ways of conducting it and reporting of signs and symptom to appropriate quarters. This work is aimed at designing and development of a computer assisted system that runs on both desktop and mobile device(s) to assist women in conducting self- breast examination. To achieve this, object oriented analysis and design methodology (OOADM) was adopted for investigation and implementation. This work was designed and implemented in Microsoft Visual Studio while MySQL was used as the database management (DBMS). The rule- based approach was used for classification of breast abnormality. The result is an eHealth information system for early detection of breast cancer and patient monitoring. This will assist women to properly conduct self-breast examination, upload signs and symptoms discovered and enable medical professionals monitor patients.