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The current guidelines for echocardiographic assessment of left ventricular diastolic dysfunction (LVDD) utilize decision trees with rigid recursive dichotomizing rules, leading to overlapping and indeterminate outcomes. We investigated a novel… Click to show full abstract
The current guidelines for echocardiographic assessment of left ventricular diastolic dysfunction (LVDD) utilize decision trees with rigid recursive dichotomizing rules, leading to overlapping and indeterminate outcomes. We investigated a novel machine-learning pipeline to integrate complex clinical
Keywords:
semi supervised;
supervised machine;
machine learning;
learning pipeline
Journal Title: Journal of the American College of Cardiology
Year Published: 2019
Link to full text (if available)
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Journal Title: Journal of the American College of Cardiology
Year Published: 2019
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!