A Powerful Paradigm for Cardiovascular Risk Stratification Using Multiclass, Multi-Label, and Ensemble-Based Machine Learning Paradigms A Narrative Review /
Background and Motivation: Cardiovascular disease (CVD) causes the highest mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment is vital. Conventional methods have shown poor performance compared to more recent and fast-evolving Artificial Intelligence (AI) me...
Elmentve itt :
| Szerzők: | |
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| Dokumentumtípus: | Cikk |
| Megjelent: |
2022
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| Sorozat: | DIAGNOSTICS
12 No. 3 |
| Tárgyszavak: | |
| doi: | 10.3390/diagnostics12030722 |
| mtmt: | 32779042 |
| Online Access: | http://publicatio.bibl.u-szeged.hu/24080 |