Article ID Journal Published Year Pages File Type
377728 Artificial Intelligence in Medicine 2012 8 Pages PDF
Abstract
An intelligent classifier with an averaged correct rate, sensitivity and specificity above 90% for assisting in identifying CRT responders is built by speckle-tracking radial strain. The classifier can be applied to provide objective suggestion for patient selection of CRT.
Keywords
Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
Preview
An intelligent classifier for prognosis of cardiac resynchronization therapy based on speckle-tracking echocardiograms
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