Does interpretable machine learning analysis of left ventricular long-axis function on exercise improve the diagnosis of HFpEF?
Machine learning applied to exercise imaging of left ventricular long-axis function shows potential for improving HFpEF diagnosis.
The analysis of left ventricular long-axis function on exercise by interpretable ML may improve the diagnosis and understanding of HFpEF.
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Circulation Cardiovascular Imaging
Cardiff University
Norwegian University of Science and Technology
Oslo University Hospital
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Sanchez‐Martinez et al. (Sun,) studied this question.