However, on the microarray datasets in Benchmark 2, FC is at least one order of magnitude faster than Consensus, with exactly the same algorithms indicated for Benchmark 1. NMF results to be problematic also on the Benchmark 2 datasets.
In contrast, the Wilcox test for the delta algorithm indicated a 95% confidence interval of [− 0.36%, 0.20%] with V = 985,540 and p value = 0.5624, providing insufficient evidence to reject the null hypothesis that the true error percentage is 0%.
For example, the Dolan algorithm indicated patients with no complications had a utility around 0.8 (similar to previous studies that used this algorithm [ 3, 24]), while the Shaw algorithm utility gave values 0.05 higher for the same group of patients.
Although additional studies are required, the results with the ExH algorithm indicate that the correction for a mean volume of <85 mL will work effectively in various populations.
Based upon the validated diabetes diagnosis algorithm indicating eligibility for diabetes care metrics in 2006, we identified 256,331 patients with diabetes.
The AACE/ACE algorithm indicates a preferred sequential order for each of the regimens (Fig. 1, from above downward, in ref. [ 4 ]).
A phase transition (i.e., dramatic and qualitative change) in the behavior of the algorithm indicates when sufficient data is available for its successful application.
Using data taken from thousands of presentations, a machine learning algorithm might indicate, for instance, whether a patient with abdomen pain was likely to be suffering from a severe problem, like intestinal perforation or a systemic infection, and fast-track those patients preventing their condition from becoming critical.
All 10 Inno-Lia algorithms indicated a distinct increase in IIR for the notifications of 2008 compared to 2005/2006 and a decrease back to baseline in 2010.
Formal algorithms indicating appropriate points for intervention in labor have been designed.
Psychological factors as well as previous experience were shown to be important predictors of cessation before 16 weeks in predictive algorithms indicating the potential for early intervention.
