Selecting the embryo with the highest implantation potential using a data mining based prediction model

Table 7 Logistic regression model of implantation potential

Predicter	Estimate	SE	t-Statistic	pValue
(Intercept)	12.070	4.446	2.715	0.007
Number_Day2	0.817	0.232	3.522	0.000
TCV_Day2	−1.572	0.547	−2.875	0.004
Fragmentation_Day2	−12.250	6.392	−1.917	0.055
Age_male	−0.311	0.134	−2.328	0.020
Number_Day3	−2.697	0.853	−3.164	0.002
Number_Day2:COD_Day3	−0.412	0.161	−2.549	0.011
TCV_Day2*Age_male	0.045	0.016	2.806	0.005
COD_Day2:Age_male	−0.065	0.026	−2.457	0.014
Fragmentation_Day2*Age_male	0.327	0.190	1.722	0.085
COD_Day2:Number_Day3	1.434	0.637	2.249	0.024
Parity_Day2:Number_Day3	0.730	0.225	3.246	0.001

Log(potential) = 1+ Number_Day2+ Number_Day3+ Number_Day2:COD_Day3 + TCV_Day2*Age_male + COD_Day2:Age_male + Fragmentation_Day2*Age_male + COD_Day2:Number_Day3+ Parity_Day2:Number_Day3
Estimate the estimated value for each coefficient
SE standard error for the coefficient estimate

ISSN: 1477-7827