Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction
Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction
Citació
- Sanchez-Martinez S, Duchateau N, Erdei T, Kunszt G, Aakhus S, Degiovanni A, Marino P, Carluccio E, Piella G, Fraser AG, Bijnens BH. Machine learning analysis of left ventricular function to characterize heart failure with preserved ejection fraction. Circ Cardiovasc Imaging. 2018 Apr 16;11(4):e007138. DOI: 10.1161/CIRCIMAGING.117.007138
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Descripció
Resum
Current diagnosis of heart failure with preserved ejection fraction (HFpEF) is suboptimal. We tested the hypothesis that comprehensive machine learning (ML) of left ventricular function at rest and exercise objectively captures differences between HFpEF and healthy subjects.