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To highlight useful information, some factors that are sensitive to the useful information are computed by the simplified sensitive factor algorithm.
On large scientific computers where the multiplications can be overlapped with the additions, the prime factor algorithm without nesting remains the fastest and is the easiest to implement.
Using the risk factor algorithm a total of 146 women (18% of the 830 women who did not withdraw, 95%CI15%20%– 20%) would have been identified as being eligible for intrapartum antibiotic chemoprophylaxis.
*Based on clinical risk factor algorithm from table 2 using cut-offs at 5%, 10%, and 25% false positive rates †Average test characteristics across 10 different cross validation repeats.
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The recursive estimation of the time-varying parameters was realized with the Kalman Filter and the Forgetting Factor algorithms.
We used both the static and dynamic structure factor algorithms for image processing in order to compute the structure factor and the correlation time of the fluctuations.
Biomarkers of the acute-phase inflammatory response, including CRP, fibrinogen, IL-6 and vWf, have all been shown to be predictive of long-term cardiovascular risk, although not independently adding to classic risk factor algorithms [52].
Age is by far the strongest determinant of CVD risk in multiple risk factor algorithms. Offering preventive treatment to everyone over a specified age without measuring other risk factors would be a simpler screening strategy than offering preventive treatment to everyone exceeding a specified CVD risk cut-off based on multiple risk factor measurement.
Guidelines recommend that primary preventive treatment be based on assessment of absolute risk of cardiovascular events using multiple risk factor algorithms such as the Framingham risk equations, which include age, sex, smoking status, diabetic status, serum cholesterol, and blood pressure [4].
A guideline for the metrics such classifiers should meet, including independent validation, and adding to current clinical factor algorithms has been described [ 4] and it has been suggested that peripheral blood cell gene expression may reflect pathological conditions in a variety of cardiovascular disease states[ 5].
This demonstration incorporates the key elements of a scalable ion-trap architecture, suggesting the future capability of applying the quantum Fourier transform to a large number of qubits as required for a useful quantum factoring algorithm.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com