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As emerges from results obtained HRS optimization proved to be an efficient tool in data mining, it could complement and systematize the information originated from ANNs and reveals the generalization ability of ANNs.
The distribution of the continuous measurements was transformed to the log2 scale to simplify interpretation of estimated HR, and when comparing peak and ELISA measurements the concentrations were scaled by dividing by their standard deviation to make the obtained HRs comparable.
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In the previously reported methods, the obtained HR images tend to be blurred in edge and texture regions.
This is supported by the obtained HR-TEM images and EELS-spectra which were practically indistinguishable between different fuels and engine conditions.
When more severe patients with severe sepsis and septic shock were analyzed, similar results were obtained (HR, 0.44; 95% CI, 0.2-0.95; p = 0.03).
In this experiment, the resolution is enhanced to the twice size, and the obtained HR frame in (b) is 480×360 pixels.
From the Cox regression analysis, similar results were obtained (HR: 1.14; 95% CI: 0.87-1.50; p-value=0.345) when adjusted for treatment drug and visceral metastases (the only covariate that significantly influenced TTP [p-value=0.023] [p-value=0.023]
We examined the associations between PA, adiposity, and all-cause mortality using Cox regression models to obtain HRs.
Cox proportional hazard regression was used to obtain HRs of A1C and ACR for ischemic stroke while controlling for covariates.
T3 was not normally distributed (p < 0.001 using a one sample Kolmogorov Smirnov test), but to give estimates more readily interpretable, the original T3 values were used to obtain HRs.
This method is not based on PCA and KPCA, but calculates the Bayes-based interpolator to obtain HR images.
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