Attia, Zachi I <br/><br/>
Prospective validation of a deep learning electrocardiogram algorithm for the detection of left ventricular systolic dysfunction.  [electronic resource] 

 -  Journal of cardiovascular electrophysiology  05 2019 
 - 668-674 p.  digital 
<br/><br/> Publication Type: Journal Article; Validation Study 
<br/><br/><label>ISSN: </label>1540-8167 
<br/><br/><label>Standard No.: </label>10.1111/jce.13889  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Aged, 80 and over<br/>Deep Learning<br/>Diagnosis, Computer-Assisted<br/>Echocardiography<br/>Electrocardiography<br/>Female<br/>Heart Rate<br/>Humans<br/>Male<br/>Middle Aged<br/>Predictive Value of Tests<br/>Prognosis<br/>Prospective Studies<br/>Reproducibility of Results<br/>Signal Processing, Computer-Assisted<br/>Stroke Volume<br/>Ventricular Dysfunction, Left--diagnosis<br/>Ventricular Function, Left