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Enhancing tertiary cardiology triage with vectorcardiographic features: a machine learning approach using real-world data
0
Zitationen
5
Autoren
2026
Jahr
Abstract
VCG-derived features may improve the identification of patients requiring tertiary care, either alone or integrated into an explainable and robust machine learning model trained on real-world data. Its clinical value will ultimately depend on prospective validation and seamless integration within existing care pathways.
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