Predicting coronary artery disease: a comparison between two data mining algorithms
Abstract Background Cardiovascular diseases (CADs) are the first leading cause of death across the world. World Health Organization has estimated that morality rate caused by heart diseases will mount to 23 million cases by 2030. Hence, the use of data mining algorithms could be useful in predicting...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-04-01
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| Series: | BMC Public Health |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12889-019-6721-5 |