Kalscheur, Matthew M <br/><br/>
Machine Learning Algorithm Predicts Cardiac Resynchronization Therapy Outcomes: Lessons From the COMPANION Trial.  [electronic resource] 

 -  Circulation. Arrhythmia and electrophysiology  01 2018 
 - e005499 p.  digital 
<br/><br/> Publication Type: Journal Article; Multicenter Study; Randomized Controlled Trial; Research Support, N.I.H., Extramural 
<br/><br/><label>ISSN: </label>1941-3084 
<br/><br/><label>Standard No.: </label>10.1161/CIRCEP.117.005499  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Aged<br/>Algorithms<br/>Cardiac Resynchronization Therapy--methods<br/>Decision Making<br/>Deep Learning<br/>Female<br/>Heart Conduction System--physiopathology<br/>Heart Failure--physiopathology<br/>Humans<br/>Machine Learning<br/>Male<br/>Middle Aged<br/>Predictive Value of Tests<br/>Stroke Volume--physiology<br/>Ventricular Function, Left--physiology