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The serum-ascites albumin gradient or gap (SAAG) is a calculation used in medicine to help determine the cause of ascites. [1] The SAAG may be a better discriminant than the older method of classifying ascites fluid as a transudate versus exudate.
For all testing, both diagnoses and screening, there is usually a trade-off between sensitivity and specificity, such that higher sensitivities will mean lower specificities and vice versa. A test which reliably detects the presence of a condition, resulting in a high number of true positives and low number of false negatives, will have a high ...
Duke Treadmill Score is one of the tools for predicting the risk of ischemia or infarction in the heart muscle. [1] The calculation is done based on the information obtained from an exercise test by this formula: [citation needed]
Accuracy is also used as a statistical measure of how well a binary classification test correctly identifies or excludes a condition. That is, the accuracy is the proportion of correct predictions (both true positives and true negatives) among the total number of cases examined. [10]
In medicine, a biomarker is a measurable indicator of the severity or presence of some disease state. It may be defined as a "cellular, biochemical or molecular alteration in cells, tissues or fluids that can be measured and evaluated to indicate normal biological processes, pathogenic processes, or pharmacological responses to a therapeutic intervention."
QRISK3 (the most recent version of QRISK) is a prediction algorithm for cardiovascular disease (CVD) that uses traditional risk factors (age, systolic blood pressure, smoking status and ratio of total serum cholesterol to high-density lipoprotein cholesterol) together with body mass index, ethnicity, measures of deprivation, family history, chronic kidney disease, rheumatoid arthritis, atrial ...
End-systolic volume (ESV) is the volume of blood in a ventricle at the end of contraction, or systole, and the beginning of filling, or diastole.. ESV is the lowest volume of blood in the ventricle at any point in the cardiac cycle.
Time and frequency resolution are affected by window length, making it difficult to efficiently capture both short-term and long-term variations simultaneously. Monitoring short-term heart rate variability. Wavelet transform: Provides multi-resolution analysis, making it suitable for processing non-stationary signals. Computationally intensive.
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