Prediction of chronic kidney disease in Isfahan with extracting association rules using data mining techniques
Background: Millions of deaths occur around the world each year due to lack of access to appropriate treatment for chronic kidney disease patients. Given the importance and mortality rate of this disease, early and low-cost prediction is very important. The researchers intend to identify chronic kid...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | fas |
| Published: |
Tehran University of Medical Sciences
2021-09-01
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| Series: | Tehran University Medical Journal |
| Subjects: | |
| Online Access: | http://tumj.tums.ac.ir/article-1-11335-en.html |