THE PROBLEM OF EXTRACTING NEW KNOWLEDGE FROM THE STORAGE OF MEDICAL DATA. FIRST ANNOUNCEMENT
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 an...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Ukrmedknyha Publishing House
2012-12-01
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| Series: | Medična Informatika ta Inženerìâ |
| Online Access: | http://ojs.tdmu.edu.ua/index.php/here/article/view/182 |
| Summary: | 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. |
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| ISSN: | 1996-1960 1997-7468 |