Cancer Diagnosis with Improved Particle Swarm Optimization Algorithm (Hilla Hospital – Iraq) Case Study

Today, with the improvement and development of technology, hospitals and medical centers produce large amounts of medical data. Given the enormous costs of healthcare services for patients and the government, this data can be used to save on treatment costs using data analysis. Since data mining is a technique to find new knowledge from databases, data mining techniques play an important role in finding and extracting knowledge to contribute to an effective diagnosis of diseases and provision of better medical care and services. In today’s world, due to the high incidence of cancer and its high mortality rate, early diagnosis of this disease is of great interest. In this paper, we tried using data mining techniques such as classification and improved particle swarm optimization algorithm to detect cancer types in the shortest time, with more details, and provide them to the physician.