Automated diagnosis of chronic obstructive pulmonary disease using deep learning applied to electrocardiograms

This work was supported in part through the computational and data resources and staff expertise provided by Scientific Computing and Data at the Icahn School of Medicine at Mount Sinai and supported by the Clinical and Translational Science Awards (CTSA) grant UL1TR004419 from the National Center for Advancing Translational Sciences; and R01HL167050-02 from the National Heart, Lung, and Blood Institute.