Özet:

Data mining is the obtaining of information that is not very clear, unknown but potentially useful from raw data. This also includes a certain number of technical approaches, such as aggregation, data summary, study of changes, detection of deviations. Data mining is a method of accessing high-value information that is cleaned from data volumes, unnecessary data that can answer targeted questions. Information about data mining has begun to work. With data mining, important results can be obtained that will help decision-making processes in many areas. By examining the data in various ways, the raw data can be obtained to meaningful data. Data mining has a widespread scope of application. Our study covers data in the health sector, which is one of these fields of application. A practical study was carried out using the data contained in the PAU Hospital Information Management System to determine the profile of patients who come. The application has been attempted to show that the information provided by the application is a decision support tool that will enable health professionals to access the most accurate and up-to-date information, to use the most objective and optimal solutions.

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