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The best predictive threshold was defined as the highest sum of sensitivity and specificity.
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As ScO2 after all influential factors had best predictive performance, its optimal threshold for POCD detection was determined.
In order to determine optimal cut-off values of the best predictive PaO2/FIO2 ratio value, optimum threshold estimation was applied.
The degree of predictivity (i.e., niche stability) was evaluated statistically by determining the proportional area predicted present by the projected model at each predictive threshold (i.e., 10 out 10 best subset models in agreement, 9 out of 10 in agreement, etc).
Then, the model with the best predictive power, having the lowest prediction error is selected.
ScO2 after all influential factors (anesthesia induction, cement implantation and tourniquet deflation) had the best predictive performance for POCD AUCC = 0.742), and the optimal threshold was 66.5 %.
IPCL was the best PK parameter for predicting renal toxicity, showing the best predictive values.
Furthermore, our results show that spike frequency, amplitude, duration, threshold and after hyperpolarization can serve as the best predictive measurements for electrical maturation.
At the score threshold of 0.5, the weighted-score gives one of the best predictive performance.
KF algorithm is one of the best predictive algorithms, especially for noise processing and motion prediction.
Serum myoglobin has clearly the best predictive value.
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