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In that study, a combination of clinical predictors and biomarkers had the best performance for predicting mortality in patients with ARDS compared to clinical predictors or biomarkers alone [13].
Out of the 4 methods, nICP_PI was the one with best performance for predicting changes in ∆ICP during infusion test, followed by nICP_BB.
The best performance for predicting which scenes would become intrusive memories within participants was with a support vector machine classifier using 1000 voxels as input features.
The best performance for predicting the scenes that would later become intrusive memories was found by using a linear discriminate analysis classifier with 39 independent components.
Figure 2 shows the univariate ROC curves for the second and third trimester sFlt-1/PlGF ratios, which had the best performance for predicting preeclampsia out of the available markers.
Overall, the model based on the number of amino acid changes in the five antigenic sites has the highest correlation to the antigenic distance (R = 0.77) and the best performance for predicting antigenic variants (agreement = 83%).
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Among different combinations of family and link function for the generalised linear model, the binomial family with logit link was chosen as the most appropriate since it showed the best performance of predicting the mean utility close to the observed.
Model 2 showed the best performance for mortality prediction.
Testing the relevance of each parameter to predict insulin resistance we found best performance for serum cortisol followed by serum IL6, leptin and adiponectin.
In conclusion, each proposed model is able to reach the best performance for incidents within a particular duration range, as if they have specialised skills in predicting incidents of specific duration class.
Since we achieved the best performance for ER-LBD using an ensemble method, it is of particular interest to investigate which chemical characteristics were correctly predicted by different methods and fingerprints (MACCS, ECFP4).
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