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The questions of extracting useful and new knowledge of the constantly accumulating data in medical information systems are considered. Approaches to the discovery of new knowledge in the storage of medical data are analyzed. There is emphasized the idea of the need to minimize human intervention and production data analysis as possible automatically. In the first report it is described in more detail the data clustering methods.

ПРОБЛЕМИ ВИЯВЛЕННЯ НОВИХ ЗНАНЬ ІЗ СХОВИЩ МЕДИЧНИХ ДАНИХ. ПЕРШЕ ПОВІДОМЛЕННЯ