Machine Learning Analysis of Left Ventricular Function to Characterize Heart Failure With Preserved Ejection Fraction

Also consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1. Laplacian Eigenmaps for Dimensionality Reduction and Data Representation· 2003 · 7,688 citations
2. Echocardiographic quantification of myocardial function using tissue deformation imaging, a guide to image acquisition and analysis using tissue Doppler and speckle tracking· 2007 · 371 citations
3. The Elements of Statistical Learning· 2001 · 24,337 citations
4. How to diagnose diastolic heart failure: a consensus statement on the diagnosis of heart failure with normal left ventricular ejection fraction by the Heart Failure and Echocardiography Associations of the European Society of Cardiology· 2007 · 2,675 citations
5. Can regional strain and strain rate measurement be performed during both dobutamine and exercise echocardiography, and do regional deformation responses differ with different forms of stress testing?· 2003 · 52 citations