Prediction of cholesterol level in patients with myocardial infarction based on medical data mining methods
Myocardial infarction (MI) is a significant reason for death and disability over the world and might be the first signof coronary artery disease. The current study was carried out to predict the cholesterol level in patients with MI usingdata mining methods, artificial neural networks (ANNs) and su...
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| Main Authors: | Cemil Colak, Mehmet C. Colak, Necip Ermis, Nevzat Erdil, Ramazan Ozdemir |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2016-08-01
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| Series: | Kuwait Journal of Science |
| Subjects: | |
| Online Access: | https://journalskuwait.org/kjs/index.php/KJS/article/view/875 |
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