A Heart Disease Prediction Model Based on Feature Optimization and Smote-Xgboost Algorithm
In today’s world, heart disease is the leading cause of death globally. Researchers have proposed various methods aimed at improving the accuracy and efficiency of the clinical diagnosis of heart disease. Auxiliary diagnostic systems based on machine learning are designed to learn and predict the di...
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| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2022-10-01
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| Saila: | Information |
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| Sarrera elektronikoa: | https://www.mdpi.com/2078-2489/13/10/475 |
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