Commandeur, Frederic <br/><br/>
Machine learning to predict the long-term risk of myocardial infarction and cardiac death based on clinical risk, coronary calcium, and epicardial adipose tissue: a prospective study.  [electronic resource] 

 -  Cardiovascular research  12 2020 
 - 2216-2225 p.  digital 
<br/><br/> Publication Type: Journal Article; Randomized Controlled Trial; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't 
<br/><br/><label>ISSN: </label>1755-3245 
<br/><br/><label>Standard No.: </label>10.1093/cvr/cvz321  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adipose Tissue--diagnostic imaging<br/>Aged<br/>Cause of Death<br/>Computed Tomography Angiography<br/>Coronary Angiography<br/>Coronary Artery Disease--complications<br/>Decision Support Techniques<br/>Female<br/>Humans<br/>Machine Learning<br/>Male<br/>Middle Aged<br/>Multidetector Computed Tomography<br/>Myocardial Infarction--etiology<br/>Pericardium<br/>Predictive Value of Tests<br/>Prognosis<br/>Prospective Studies<br/>Radiographic Image Interpretation, Computer-Assisted<br/>Risk Assessment<br/>Risk Factors<br/>Sex Factors<br/>Time Factors<br/>Vascular Calcification--complications