scholarly journals Correction to: Effective Multimodal Opinion Mining Framework Using Ensemble Learning Technique for Disease Risk Prediction

2021 ◽  
pp. C1-C1
Author(s):  
V. J. Aiswaryadevi ◽  
S. Kiruthika ◽  
G. Priyanka ◽  
N. Nataraj ◽  
M. S. Sruthi
Keyword(s):  
Ensemble Learning ◽  
Risk Prediction ◽  
Opinion Mining ◽  
Disease Risk ◽  
Learning Technique

Analysis of Driver Performance Using Hybrid of Weighted Ensemble Learning Technique and Evolutionary Algorithms

2021 ◽  
Author(s):  
Afsaneh Koohestani ◽  
Moloud Abdar ◽  
Sadiq Hussain ◽  
Abbas Khosravi ◽  
Darius Nahavandi ◽  
...  
Keyword(s):  
Evolutionary Algorithms ◽  
Ensemble Learning ◽  
Driver Performance ◽  
Learning Technique

scholarly journals Cardiovascular Risk Assessment in Angolan Adults: A Descriptive Analysis from CardioBengo, a Community-Based Survey

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
João M. Pedro ◽  
Miguel Brito ◽  
Henrique Barros
Keyword(s):  
Cardiovascular Risk ◽  
Risk Prediction ◽  
Disease Risk ◽  
Descriptive Analysis ◽  
World Health Organisation ◽  
World Health ◽  
Lipid Lowering ◽  
Community Based ◽  
Risk Factor Surveillance ◽  
Using Data

From a community-based survey conducted in Angola, 468 individuals aged 40 to 64 years and not using drug therapy were evaluated according to the World Health Organisation STEPwise Approach to Chronic Disease Risk Factor Surveillance. Using data from tobacco use, blood pressure, blood glucose, and total cholesterol levels, we estimated the 10-year risk of a fatal or nonfatal major cardiovascular event and computed the proportion of untreated participants eligible for pharmacological treatment according to clinical values alone and total cardiovascular risk. The large majority of participants were classified as having a low (<10%) 10-year cardiovascular risk (87.6%), with only 4.5% having a high (≥ 20%) cardiovascular risk. If we consider the single criteria for hypertension, 48.7% of the population should be considered for treatment. This value decreases to 22.0% if we apply the risk prediction chart. The use of hypoglycaemic drugs does not present any differences (19.0% in both situations). The use of lipid-lowering drugs (3.8%) is only recommended by the risk prediction chart. This study reveals the need of integrated approaches for the treatment of cardiovascular disorders in this population. Risk prediction charts can be used as a way to promote a better use of limited resources.

scholarly journals The role of coronary artery calcification testing in incident coronary artery disease risk prediction in type 1 diabetes

Diabetologia ◽  
2018 ◽  
Vol 62 (2) ◽  
pp. 259-268 ◽  
Author(s):  
Jingchuan Guo ◽  
Sebhat A. Erqou ◽  
Rachel G. Miller ◽  
Daniel Edmundowicz ◽  
Trevor J. Orchard ◽  
...  
Keyword(s):  
Coronary Artery Disease ◽  
Type 1 Diabetes ◽  
Coronary Artery ◽  
Risk Prediction ◽  
Coronary Artery Calcification ◽  
Disease Risk ◽  
Coronary Artery Disease Risk ◽  
Artery Disease
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