"A new cardiovascular disease risk calculator was needed, particularly one that includes measures of CKM syndrome, which is highly prevalent in the U.S.," said Sadiya S. Khan, M.D., M.Sc., FAHA, chair of the statement writing committee for the Association. "The new PREVENT risk calculato...
102: Calculation of 10-year coronary heart disease risk using multiple risk factorsdoi:10.1016/j.jacl.2008.08.105NoneJournal of Clinical Lipidology
Global risk of coronary heart disease is a calculation of the absolute risk of having a coronary heart disease event (e.g., death, myocardial infarction) over a specified period. It is based on an empiric equation that combines major risk factors, such as blood pressure and cholesterol levels...
We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank. Among the disease conditions studied are Hypothyr...
Framingham-based tools to calculate the global risk of coronary heart disease PURPOSE: To examine the features of available Framingham-based risk calculation tools and review their accuracy and feasibility in clinical practice. S Sheridan,M Pignone,C Mulrow - 《Journal of General Internal Medicine》 ...
Objective To assess the effect of using different risk calculation tools on how general practitioners and practice nurses evaluate the risk of coronary hea... McManus,R J - BMJ 被引量: 350发表: 2002年 Emerging Risk Factors for Coronary Heart Disease: A Summary of Systematic Reviews Conducted fo...
Coronary heart disease risk (CHD risk) was calculated using the online NIH 10-year heart attack risk calculator, which uses age, gender, total cholesterol, HDL cholesterol, smoking status, and blood pressure status in its algorithm. Significance was determined using an alpha level of 0.05. ...
The present study examines the role of feature selection methods in optimizing machine learning algorithms for predicting heart disease. The Cleveland Heart disease dataset with sixteen feature selection techniques in three categories of filter, wrapper,
The Transformer model’s efficiency in detecting the likelihood of heart disease across multiple demographic categories, such as age, gender, and race/ethnicity, is examined, and the possibility for personalized risk assessment is also investigated. ...
Usually heart rate calculation has traditionally been conducted using specialized hardware or device. It used most commonly in the form of pulse dosimeters or electrocardiogram devices. This system tries to assist the specialists to diagnose heart disease earlier and evaluate related risk factors. Data...