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Although earlier studies have identified individual predictive factors for recurrent preeclampsia, a combination of variables for the prediction of recurrent preeclampsia has not been explored until recently.
Moreover, a SVR-based sequential forward feature selection algorithm is proposed to disclose the most dominant input variables for the prediction of CS and RCPT results.
VIMs, coupled with Pearson correlation, through various analyses indicated that total sulfur, liptinite, and vitrinite maximum reflectance (Rmax) are the most importance variables for the prediction of HGI.
A node purity value obtained for each variable in the random forest analysis has reported the relative importance of the variables for the prediction of perceived satisfaction levels of bicyclists.
Models 1-1, 2-1 and 3-1 in Table 4 show the optimal models when EQ's are used as the exogenous variables for the prediction of EQ4-4.9.
The same routine can be observed for the k, therefore; d p was chosen as a representative parameter among particle character variables for the prediction of recovery and k.
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Volume of births was an independent variable for the prediction of episiotomy from 2007 to 2012, at which point it ceased to predict severe perineal damage.
Secondly, the duration of accessing days should be added as a variable for the prediction of learning performance.
Results of VIM, assisted by Pearson correlation, demonstrated that Vp is the most effective variable for the prediction of both E and UCS.
Injury severity is also a strong dependent variable for the prediction of ATC and massive transfusion [ 6- 9], but is not immediately available.
However, the variables required for the prediction of this distress are complex or difficult to obtain in the field, making its application in pavement evaluation also difficult.
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