Comparison of the Framingham Risk Score and Deep Neural Network-Based Coronary Heart Disease Risk Prediction

Author(s):  
Tsatsral Amarbayasgalan ◽  
Pham Van Huy ◽  
Keun Ho Ryu
2020 ◽  
Vol 45 (7) ◽  
pp. 801-804
Author(s):  
Vladimir Vuksan ◽  
John L. Sievenpiper ◽  
Elena Jovanovski ◽  
Alexandra L. Jenkins ◽  
Allison Komishon ◽  
...  

We applied the Framingham risk equation in healthy, metabolic syndrome, and diabetes populations, following treatment with viscous fibre from konjac-based blend (KBB). KBB yielded reduction in estimated risk score by 16% (1.04 ± 0.03 vs. 0.87 ± 0.04, p < 0.01) in type 2 diabetes, 24% (1.08 ± 0.01 vs. 0.82 ± 0.02, p < 0.01) in metabolic syndrome, and 25% (1.09 ± 0.05 vs. 0.82 ± 0.06, p < 0.01) in healthy individuals. Drivers for decreased risk were improvements in blood cholesterol and systolic blood pressure. The composite coronary heart disease risk across populations was reduced 22% (p < 0.01). Novelty Viscous fibre from konjac-xanthan reduced 10-year relative coronary heart disease using Framingham Risk Score across the glycemic status spectrum.


2015 ◽  
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pp. 718-722 ◽  
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Kara W. Chew ◽  
Debika Bhattacharya ◽  
Kathleen A. McGinnis ◽  
Tamara B. Horwich ◽  
Chi-hong Tseng ◽  
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2014 ◽  
Vol 11 ◽  
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Jennifer Gander ◽  
Xuemei Sui ◽  
Linda J Hazlett ◽  
Bo Cai ◽  
James R. Hébert ◽  
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2008 ◽  
Vol 196 (2) ◽  
pp. 803-809 ◽  
Author(s):  
Mireia Junyent ◽  
Daniel Zambón ◽  
Rosa Gilabert ◽  
Isabel Núñez ◽  
Montserrat Cofán ◽  
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Circulation ◽  
2008 ◽  
Vol 118 (2) ◽  
Author(s):  
Morris Schambelan ◽  
Peter W.F. Wilson ◽  
Kevin E. Yarasheski ◽  
W. Todd Cade ◽  
Victor G. Dávila-Román ◽  
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2005 ◽  
Vol 161 (Supplement_1) ◽  
pp. S25-S25
Author(s):  
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C Crainiceanu ◽  
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L Chambless ◽  
J Coresh

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0139651 ◽  
Author(s):  
Katherine E. Beaney ◽  
Jackie A. Cooper ◽  
Saleem Ullah Shahid ◽  
Waqas Ahmed ◽  
Raheel Qamar ◽  
...  

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