Utility of Cardiovascular Imaging to Refine Cardiovascular Disease (CVD) Risk Assessment-Reference-Cited by-同舟云学术

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Utility of Cardiovascular Imaging to Refine Cardiovascular Disease (CVD) Risk Assessment

Published:2014-03-12 Issue:4 Volume:8 Page:
ISSN:1932-9520
Container-title:Current Cardiovascular Risk Reports
language:en
Short-container-title:Curr Cardiovasc Risk Rep

Author:

Bittencourt Marcio Sommer,Hulten Edward A.,Nasir Khurram,Blankstein Ron

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Pharmacology

Link

http://link.springer.com/content/pdf/10.1007/s12170-014-0378-5.pdf

Reference83 articles.

1. Yusuf S, Reddy S, Ounpuu S, Anand S. Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001;104:2746–53.

2. Third report of the national cholesterol education program (ncep). Expert panel on detection, evaluation, and treatment of high blood cholesterol in adults (adult treatment panel III) final report. Circulation. 2002;106:3143–421.

3. Akosah KO, Schaper A, Cogbill C, Schoenfeld P. Preventing myocardial infarction in the young adult in the first place: how do the national cholesterol education panel III guidelines perform? J Am Coll Cardiol. 2003;41:1475–9.

4. Abe Y, Rundek T, Sciacca RR, Jin Z, Sacco RL, Homma S, et al. Ultrasound assessment of subclinical cardiovascular disease in a community-based multiethnic population and comparison to the framingham score. Am J Cardiol. 2006;98:1374–8.

5. Malik S, Budoff MJ, Katz R, Blumenthal RS, Bertoni AG, Nasir K, et al. Impact of subclinical atherosclerosis on cardiovascular disease events in individuals with metabolic syndrome and diabetes: the multi-ethnic study of atherosclerosis. Diabetes Care. 2011;34:2285–90.

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1. Review of Cardiovascular Diseases: Causes and Future;2023 8th International Conference on Communication and Electronics Systems (ICCES);2023-06-01

2. Identification of Cardiovascular Diseases Based on Machine Learning;2022 3rd International Symposium on Artificial Intelligence for Medicine Sciences;2022-10-13

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