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The Framingham Risk Score is a sex-specific algorithm used to estimate the 10-year cardiovascular risk of an individual. The Framingham Risk Score was first developed based on data obtained from the Framingham Heart Study, to estimate the 10-year risk of developing coronary heart disease. [1]
Cardiovascular disease (CVD) is any disease involving the heart or blood vessels. [3] CVDs constitute a class of diseases that includes: coronary artery diseases (e.g. angina, heart attack), heart failure, hypertensive heart disease, rheumatic heart disease, cardiomyopathy, arrhythmia, congenital heart disease, valvular heart disease, carditis, aortic aneurysms, peripheral artery disease ...
A standard application of SURE is to choose a parametric form for an estimator, and then optimize the values of the parameters to minimize the risk estimate. This technique has been applied in several settings. For example, a variant of the James–Stein estimator can be derived by finding the optimal shrinkage estimator. [2]
In patients with UA/NSTEMI, the TIMI risk score is a prognostication scheme that categorizes a patient's risk of death and ischemic events and provides a basis for therapeutic decision making. [1] TIMI Score Calculation (1 point for each): Age ≥ 65 years; Known coronary artery disease (CAD) (stenosis ≥ 50%) ≥ 3 risk factors for CAD*
≈100% (>65 years old) [7] Atherosclerosis [ a ] is a pattern of the disease arteriosclerosis , [ 8 ] characterized by development of abnormalities called lesions in walls of arteries . This is a chronic inflammatory disease involving many different cell types and driven by elevated levels of cholesterol in the blood. [ 9 ]
The risk difference (RD), excess risk, or attributable risk [1] is the difference between the risk of an outcome in the exposed group and the unexposed group. It is computed as I e − I u {\displaystyle I_{e}-I_{u}} , where I e {\displaystyle I_{e}} is the incidence in the exposed group, and I u {\displaystyle I_{u}} is the incidence in the ...
As another example, suppose a model is developed to predict an individual's risk for being diagnosed with a particular disease within the next year. If the model is trained using data from a study involving only a specific population group (e.g. young people or males), but is then applied to the general population, the cross-validation results ...
Type 2 diabetes is typically a chronic disease associated with a ten-year-shorter life expectancy. [10] [26] This is partly due to a number of complications with which it is associated, including: two to four times the risk of cardiovascular disease, including ischemic heart disease and stroke; a 20-fold increase in lower limb amputations, and ...