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Machine learning-driven predictions and interventions for cardiovascular occlusions
5
Zitationen
5
Autoren
2024
Jahr
Abstract
The use of machine learning for risk stratification and the identification of modifiable factors may empower preemptive approaches to cardiovascular care, ultimately aiming to reduce the occurrence of life-threatening events and improve long-term patient health trajectories.
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