Data and text mining techniques on real medical data

Clinical databases have been accumulating large quantities of data about patients and their medical conditions. Relationships and patterns within that data could provide new medical information and knowledge. Yet, unfortunately, few methodologies have already been developed and applied to discover this hidden knowledge. In this study, the techniques of data mining (also known as Knowledge Discovery in Databases) were used to search for relationships in a clinical database. The study describes the processes involved in mining a clinical database; it also includes the processes of data warehousing, data query and cleaning, and data analysis. The study is extended to demonstrate text mining too.