SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction
Abstract Cardiovascular disease (CVD) remains a leading global health concern, accounting for approximately 31.5% of deaths worldwide. According to the World Health Organization (WHO), over 20.5 million people succumb to CVD each year—a figure projected to rise to 24.2 million by 2030. Early diagnos...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-02525-7 |
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