Actionable absolute risk prediction of atherosclerotic cardiovascular disease based on the UK Biobank

Cardiovascular diseases (CVDs) are the primary cause of all death globally. Timely and accurate identification of people at risk of developing an atherosclerotic CVD and its sequelae is a central pillar of preventive cardiology. One widely used approach is risk prediction models; however, currently...

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Bibliographic Details
Published in:	PloS one Vol. 17; no. 2; p. e0263940
Main Authors:	Kesar, Ajay, Baluch, Adel, Barber, Omer, Hoffmann, Henry, Jovanovic, Milan, Renz, Daniel, Stopak, Bernard Leon, Wicks, Paul, Gilbert, Stephen
Format:	Journal Article
Language:	English
Published:	United States Public Library of Science 11.02.2022 Public Library of Science (PLoS)
Subjects:	Adult Aged Algorithms Arteriosclerosis Atherosclerosis Atherosclerosis - complications Atherosclerosis - epidemiology Biobanks Biological Specimen Banks Biology and Life Sciences Cardiology Cardiovascular diseases Cardiovascular Diseases - epidemiology Cardiovascular Diseases - etiology Cohort Studies Complications Congestive heart failure Disease Family medical history Female Funding Health risks Heart diseases Hospital costs Humans Life Style Lifestyles Male Medical screening Medicine and Health Sciences Middle Aged Modelling Pathophysiology Physical Sciences Prediction models Prevention Research and Analysis Methods Risk analysis Risk Assessment Risk factors Sample Size Software United Kingdom United Kingdom Germany United Kingdom > UK Berlin Germany
ISSN:	1932-6203, 1932-6203
Online Access:	Get full text
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