ABSTRACT
Medical data mining is a significant process in knowledge discovery from medical databases. This chapter is essential for extracting convenient information from image data in medicine and the health sciences. Technology work as a cutting-edge basic in relevant areas is presented. This was done to fill the gap for evolving medical image databases instead of simply reviewing the present literature. This chapter initiates a discussion for the data mining and KDD context and their connection with other related domains. A detailed recent KDD real-world applications summary is offered. The data mining and KDD definitions are depicted, with common multistep KDD procedure defined. The chapter includes a variety of methodologies and related work in the medical domain applications for knowledge discovery. Furthermore, the chapter addresses numerous threads within their broad issues, including the KDD system requirements and data mining challenges. It was reported that several novel techniques are essential to develop the imaging databases for the next information infrastructure in biomedicine.
