Abstract This paper introduces an intelligent system for breast cancer management for helping new and young healthcare ‎graduates. The proposed system simulates the real medical diagnosis processes by using artificial intelligence ‎ (AI) ‎ techniques. It is based on four parts ‎for breast cancer management. The first part is based on diagnosing by symptoms of breast cancer. The second part is based on x-ray images in ‎the diagnosis process. The third part is based on the results of breast biopsy in the diagnosis process. The fourth part introduces the suitable ‎treatment based on the stages of breast cancer. The experimental results show high efficiency of the proposed system for helping ‎in diagnosis and treatment.


As computer technology has advanced, more sophisticated technologies to aid medical practitioners in making decisions have been developed by software engineers and subject knowledge specialists . Because the relationship between disease and symptoms is rarely one-to-one in medicine, the range of symptoms is inherently challenging for new doctors. Human knowledge and reasoning skills would be used by an intelligent system to solve real-world problems .
Expert systems, referred to as knowledge-based systems, are the most common artificial intelligence systems used in the therapeutic setting. They are medically trained, generally for a specific role, and therefore can provide possible explanations with data to arrive at rational conclusions. Although there are numerous variations, the knowledge of an expert system is described as a collection of rules.