A hybrid cost-sensitive ensemble for heart disease prediction
Abstract Background Heart disease is the primary cause of morbidity and mortality in the world. It includes numerous problems and symptoms. The diagnosis of heart disease is difficult because there are too many factors to analyze. What’s more, the misclassification cost could be very high. Methods A...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-02-01
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| Series: | BMC Medical Informatics and Decision Making |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12911-021-01436-7 |