A prototype for breast cancer detection and development probability expert system — Towards a supportive tool

In this paper, we aim to propose an Expert System prototype for breast cancer detection. The proposed prototype is able to detect the existence of breast cancer of the patient using periodic mammographic examinations with identifying the stage of the disease based on the size of the cancerous tissues. A supporting tool has also been implemented for identifying the abnormal masses in mammography images. Moreover, for non-patients, the proposed prototype examines the life style of the user according to determined criteria to detect the probability for the user of developing breast cancer. This stage supports non-patience with recommendations for avoiding the disease development which is considered an alarm for serious consideration to their life style. Although, the included knowledge in the expert system is based on the experts' opinions and published researches, however, the system requires more knowledge validation from experts to become a valid supportive tool in the field.